Asset Management

FinPreparoo prioritizes free or free-to-audit resources so cost does not block learning. Crowd research uses public Reddit threads, web results, and YouTube search — not private social feeds.

NBFC risk dashboard

Build a risk dashboard for an NBFC using credit, liquidity, concentration, and stress-test indicators from public disclosures.

Built an NBFC risk dashboard with stress scenarios and early-warning indicators.

StatQuest (Josh Starmer) is described as 'the Bill Nye of Statistics' and 'Patron Saint of Silicon Valley' — consensus best statistics educator globally per r/statistics, r/datascience, r/learnmachinelearning. Krish Naik for Hindi. Patrick Boyle for finance-specific statistical applications at institutional level.

Risk Statistics Dashboard for an Indian Stock Portfolio

Using Python (pandas, scipy, numpy), build a statistics analysis of a 10-stock NSE portfolio. Calculate each stock's beta (vs. Nifty 50), annualized volatility, value at risk (VaR at 95% and 99% confidence), and expected shortfall. Run a regression of each stock's returns on Nifty returns. Present all results in a clean Excel or Python dashboard with interpretation of what each number means for a portfolio manager.

Time box: 3-4 days

Data/source: yfinance (free NSE price data)

Built Python-based risk statistics model for 10-stock NSE portfolio; computed beta, annualized VaR, expected shortfall, and regression analysis against Nifty benchmark.

Sentdex is the consensus Python-for-finance community pick — cited by professional quants on GitHub, Quora, and r/algotrading. Harvard's CS50P for rigorous fundamentals first. Krish Naik for Hindi. Reddit r/learnpython and r/algotrading consistently recommend CS50P → Sentdex as the path.

Financial Time Series Analysis Notebook

Build a Python notebook that pulls 3 years of price data for 5 NSE stocks using yfinance, calculates daily returns, rolling volatility, and Sharpe ratio for each, plots correlation heatmaps and cumulative return charts, and outputs a one-page PDF summary. The notebook must be clean enough to share with an employer as a portfolio piece.

Time box: 3-4 days

Data/source: yfinance (free), NSE/BSE historical data

Built Python notebook for multi-stock time series analysis using pandas and yfinance; computed Sharpe ratios, rolling volatility, and correlation matrix across NSE equities.

ExcelJet (Dave Bruns) is the go-to professional quick reference. BIWS Excel series is the gold standard for IB model hygiene. TrumpExcel (Sumit Bansal) is India's most trusted Excel educator with 500K+ subscribers. Macquarie/Coursera Excel specialisation is the best free structured certificate path.

Audit-Ready Financial Model with Full Checks

Build an analyst-quality Excel workbook for any Indian company's financial projections. The model must follow professional hygiene: blue hard-codes, black formulas, no hard-codes inside formulas, circular reference check, balance sheet check, and a dedicated Assumptions sheet. Add a scenario toggle (Base/Bull/Bear), a sensitivity table, and a summary dashboard page. Someone should be able to audit your model without asking you any questions.

Time box: 3-4 days

Data/source: Screener.in for historical numbers

Built audit-ready financial model in Excel following professional hygiene standards; included balance sheet checks, scenario toggle, sensitivity table, and dashboard output.

FinPreparoo prioritizes free or free-to-audit resources so cost does not block learning. Crowd research uses public Reddit threads, web results, and YouTube search — not private social feeds.

Messy model cleanup challenge

Refactor a messy finance workbook into a clean analyst model with inputs, calculations, outputs, checks, formatting, and version notes.

Refactored a messy finance workbook into an audit-ready model with checks, clean structure, and version notes.

BMC is the universal credential recommendation. On Wall Street Oasis and LinkedIn, 'do your BMC' appears in virtually every 'how to prepare for IB recruiting' post. For students without Bloomberg access, CapIQ has a free student version through many colleges (ask your library). Screener.in is the free Indian alternative for equity data; RBI and CCIL databases cover Indian fixed income data. FinPreparoo prioritizes free or free-to-audit resources so cost does not block learning. Crowd research uses public Reddit threads, web results, and YouTube search — not private social feeds.

Data Terminal Proficiency Portfolio - 5 Live Analyses

If you have Bloomberg access (college terminal), complete 5 structured analyses using actual Terminal functions. If you don't, replicate the same analyses using free alternatives (Screener.in, NSE, RBI, Trendlyne). Analysis 1: Build a trading comps table for 5 peers using market data and financial ratios. Analysis 2: Pull a 5-year bond yield history for a Nifty 50 company's outstanding NCD and plot it. Analysis 3: Screen NSE equities for EV/EBITDA < 10x and ROE > 15% to find potential value picks. Analysis 4: Build a news flow monitor for 3 companies for one week, logging all market-moving events. Analysis 5: Export 3 years of daily price data for 5 stocks into Excel and calculate rolling correlations.

Time box: 5-7 days

Data/source: Bloomberg Terminal (college) / Screener.in, Trendlyne, NSE India, RBI (all free)

Completed 5-part data terminal proficiency project using Bloomberg/Screener.in; built live comps, yield history, equity screen, news monitor, and correlation matrix across Indian securities.

BIWS and CFI are the most-cited comps resources on WSO and Reddit. The Valuation School covers Indian peer group selection (Nifty sector indices, BSE peer search). Damodaran's free sector multiples dataset (damodaran.com — updated annually) is the practitioner benchmark reference.

Professional Comps Table - Indian Sector Deep Dive

Choose one NSE sector (FMCG, IT services, pharma, banking, auto). Build a professional trading comps table for 8 companies in that sector. For each: pull LTM Revenue, EBITDA, EBIT, Net Income, and EPS from Screener.in and annual reports. Calculate EV (Market Cap + Net Debt + Minority Interest - Cash) for each. Spread 6 multiples: EV/Revenue, EV/EBITDA, EV/EBIT, P/E, P/B, Dividend Yield. Calculate the sector median and mean. Build a formatted output table exactly as you would see in an IB pitchbook - no raw Excel formatting. Write 3 observations about what the multiples tell you about the sector's valuation dynamics.

Time box: 3-4 days

Data/source: Screener.in (free), NSE India (free), BSE India annual reports (free)

Built pitchbook-quality 8-company trading comps table for Indian [sector]; spread 6 LTM multiples with correct EV calculation and wrote sector valuation commentary.

BIWS for earnings modelling structure. Bloomberg and FactSet for consensus tracking (free trials available). The Valuation School covers Indian earnings modelling using BSE quarterly results and Screener.in financial data.

4-Quarter Earnings Tracker - Estimate vs. Actuals Journal

Choose 3 NSE-listed companies across different sectors. Before each company's quarterly results announcement (use NSE earnings calendar), publish your estimate for Revenue, EBITDA, PAT, and EPS - with specific assumptions written down. After results: calculate your error, identify which assumption was wrong and why, and write a 1-paragraph 'post-mortem'. Do this for 2 consecutive quarters per company (6 earnings events total). Also track how analyst consensus (from Trendlyne or Tickertape) compared to actuals vs. your estimate.

Time box: Ongoing over 2-3 months (active practice)

Data/source: NSE earnings calendar (free), BSE India quarterly results (free), Trendlyne consensus (free tier), Tickertape (free)

Tracked quarterly earnings for 3 NSE companies over 6 events; published pre-earnings estimates with assumptions, compared vs. consensus and actuals, and conducted post-mortem analysis identifying key estimation errors.

Sentdex is the consensus Python algotrading resource on r/algotrading. QuantConnect for backtesting platform. Patrick Boyle covers institutional algo trading. Market Gurukul for Hindi NSE algo context (SEBI co-location rules, Zerodha/Kite API).

Mean-Reversion Strategy - Indian Equities Backtest with Walk-Forward Validation

Build a mean-reversion strategy for Indian equities in Python. Strategy: when a Nifty 200 stock's 20-day RSI drops below 30, buy; when RSI exceeds 70, sell. Universe: all Nifty 200 stocks with >2 years of data. Backtest over 3 years of NSE price data. Calculate: CAGR, Sharpe ratio, max drawdown, win rate, average hold period. Then run walk-forward validation (train on 2021-2022, test on 2023) to check for overfitting. Compare performance to Nifty 50 buy-and-hold benchmark. Write a 2-page strategy evaluation report including transaction cost assumptions.

Time box: 5-7 days

Data/source: yfinance (free NSE price data), NSE Bhavcopy archives (free)

Developed and backtested RSI mean-reversion strategy for Nifty 200 universe over 3 years; validated with walk-forward test; achieved Sharpe of X vs. Nifty 50 benchmark with 2-page strategy evaluation.

StatQuest teaches R through statistics — most natural learning path for quant finance. Patrick Boyle uses R in financial analysis. Quant Stack Exchange is the practitioner R community. Krish Naik for Hindi R foundations.

Replication Study - AQR Momentum Paper Using R and Indian Data

Replicate the core finding of Jegadeesh and Titman's 1993 momentum paper using Indian NSE data and R. Using 5 years of Nifty 200 daily price data (yfinance or NSE archives), form portfolios monthly by sorting stocks on prior 12-month return (excluding last month). Build equal-weighted top and bottom quintile portfolios. Calculate monthly portfolio returns, cumulative return, annualized return, Sharpe ratio, and maximum drawdown for each quintile. Test if the momentum effect (top quintile outperforms bottom) is statistically significant using a t-test. Write a 2-page replication note.

Time box: 5-7 days

Data/source: NSE Bhavcopy archives (free) or yfinance for NSE data

Replicated Jegadeesh-Titman momentum study on Indian NSE Nifty 200 universe using R; tested statistical significance of 12-1 month momentum factor; wrote 2-page replication note with results.

FinPreparoo prioritizes free or free-to-audit resources so cost does not block learning. Crowd research uses public Reddit threads, web results, and YouTube search — not private social feeds.

Nifty 50 model portfolio

Create a five-stock model portfolio from Nifty 50 names with allocation rules, sector exposure, return/risk metrics, and rebalance logic.

Built a Nifty 50 model portfolio with allocation rules, risk metrics, and a monthly factsheet.

BIWS is the global reference for ER mechanics. The Valuation School covers Indian ER (NISM RA exam, Screener.in workflow, BSE filing analysis, reading Indian annual reports). Reading published Motilal Oswal, Kotak, ICICI Securities sell-side reports (all free) is universally recommended as the best way to study professional output.

Initiation-Style Stock Pitch

Write a 4-6 page initiation-style equity research note on any NSE-listed company of your choice. Include: investment thesis (why buy/sell), business overview, financial model summary, valuation (DCF + comps), key risks, and a 12-month price target with upside/downside. Format it as a professional document - readable by a portfolio manager or interview panel.

Time box: 5-7 days

Data/source: Screener.in, BSE India filings, company IR pages

Authored initiation-style equity research note on [Company] with DCF and comps valuation, 12-month price target, and investment thesis; modeled 3-year forward earnings.

FinPreparoo prioritizes free or free-to-audit resources so cost does not block learning. Crowd research uses public Reddit threads, web results, and YouTube search — not private social feeds.

Indian G-Sec yield curve brief

Use RBI/NSE public data to build a G-Sec yield curve snapshot and explain duration, convexity, and rate-risk implications.

Created an Indian G-Sec yield-curve brief with duration and rate-shock analysis.

Damodaran is non-negotiable — referenced by Goldman Sachs training programs, the CFA Institute, and every serious finance community on Reddit (r/SecurityAnalysis, r/investing, r/FinancialCareers). Called the 'Dean of Valuation.' The Valuation School (Parth Verma — CA & NYU Stern alum) is India's best structured valuation curriculum — applied DCF with Indian companies in a practitioner-taught format. No serious free alternative at this quality for either.

Full Valuation Pack for a Listed Indian Company

Choose a listed Indian company and value it using three methods: DCF (with explicit assumptions on WACC and terminal growth), Trading Comps (build a peer comparison table of 5 companies), and Precedent Transactions (find 2-3 comparable historical deals). Combine the outputs in a football field chart showing the implied valuation range and write a one-page investment recommendation.

Time box: 4-5 days

Data/source: Screener.in (free), Damodaran country risk datasets (free), BSE India annual reports

Built full valuation pack for [Company] using DCF, trading comps, and precedent transactions; synthesized into football field chart with buy/sell recommendation.

McKinsey, BCG, Bain publish free industry reports (McKinsey Insights free access). IBEF covers Indian industries comprehensively for free. Damodaran publishes free sector multiples datasets updated annually (damodaran.com). BIWS uses industry analysis in every case study.

10-Page Industry Deep Dive - IB Pitchbook Format

Choose one Indian industry (specialty chemicals, hospital chains, data centres, logistics, renewable energy). Build a 10-page industry section exactly as it would appear in an IB pitchbook. Pages must include: industry definition and segmentation, market size and historical growth (with CAGR), 5-year growth forecast with key drivers, Porter's Five Forces analysis (with company-level examples), competitive landscape (market share table), regulatory environment, and sector valuation benchmark (what multiples this sector typically trades at and why). Every number must be sourced. No unsourced claims.

Time box: 5-7 days

Data/source: IBEF free sector reports (ibef.org), SEBI/RBI publications, company annual reports, IMF World Economic Outlook (macro), MCA21 database

Built 10-slide IB-format industry analysis for Indian [sector]; synthesized market size, Porter's Five Forces, competitive landscape, and valuation benchmarks with all data sourced.

CFA Institute is the authoritative source for performance measurement. Patrick Boyle covers Sharpe, tracking error, and information ratio with practitioner depth. r/portfoliomanagement consistently references CFA materials for attribution.

Brinson Attribution Model for an Indian Equity Portfolio

Construct a 15-stock Indian equity portfolio allocated across 5 sectors (3 stocks per sector). Track its performance vs. Nifty 50 benchmark over 6 months using historical data. Build a Brinson-Hood-Beebower attribution model in Python or Excel decomposing the active return into: (1) Allocation effect (were you overweight/underweight the right sectors?), (2) Selection effect (did you pick better stocks than the sector average?), (3) Interaction effect. Produce a monthly attribution report for each month of the period. Write a 1-page 'PM letter' explaining the portfolio's performance.

Time box: 5-7 days

Data/source: yfinance (free NSE price data), NSE sector index data (free from NSE India)

Built Brinson attribution model for 15-stock Indian equity portfolio; decomposed 6-month active return into allocation, selection, and interaction effects; produced PM letter explaining performance drivers.

Patrick Boyle (UCL, former PM) is the top macro analysis educator on YouTube — praised on r/economics and r/SecurityAnalysis. Damodaran covers macro's role in equity valuation. The Valuation School covers India macro in Hindi (RBI MPC, CPI/WPI, GDP, INR dynamics).

Macro Research Note - Indian Economy 12-Month Outlook

Write a 4-page macro research note on the Indian economy for the next 12 months - as if you were the macro strategist at an Indian asset management firm writing for your CIO. Cover: GDP growth outlook (with your forecast vs. RBI/IMF consensus and why you agree or disagree), inflation trajectory, RBI rate policy expectations, INR outlook, and the three biggest macro risks to your base case. Each section must cite actual data (RBI, MOSPI, World Bank). Conclude with asset class implications: what does your macro view imply for Indian equities, G-Secs, and INR?

Time box: 5-6 days

Data/source: RBI Handbook of Statistics (free), MOSPI National Accounts (free), IMF WEO (free), World Bank India data (free)

Authored 4-page macro research note on Indian economy with 12-month GDP, inflation, and rates forecast; derived asset class implications across equity, fixed income, and currency.

Patrick Boyle covers FX hedging from an institutional perspective with rigour. The Valuation School covers Indian corporate hedging context (RBI/FEMA regulations, CCIL, forward cover guidelines). CFI's treasury module is well structured.

Corporate FX Hedging Program Design - Indian IT Exporter

Choose any mid-large Indian IT services company (Infosys, Wipro, HCL, Mphasis). From their annual report: identify total USD revenue, USD cost base, and existing hedging disclosure. Calculate the net USD exposure. Design a 12-month hedging program: choose a hedge ratio (e.g. 50-70% of exposure), select instruments (forward contracts vs. options vs. options collar), calculate the cost of hedging at current market rates, and show the P&L impact at INR/USD scenarios of 82, 84, 86, 88, and 90. Write a 1-page hedging policy recommendation memo for the CFO and board.

Time box: 4-5 days

Data/source: BSE India annual reports (free), RBI USD/INR reference rates (free), NSE FX derivatives settlement prices

Designed 12-month FX hedging program for [Company]'s $X Mn USD exposure; compared forward, option, and collar strategies; showed P&L impact at 5 INR/USD scenarios in CFO memo.

Patrick Boyle covers factor investing at practitioner level with academic rigour. AQR publishes free factor research papers — the academic backbone cited in every serious quant discussion. The Valuation School covers Indian factor ETFs (Nifty 50 Value 20, Alpha 50, Momentum 30).

5-Factor Model - Indian Equities (Fama-French Style)

Construct 5 factors for Indian equities: Market (Nifty 50 excess return), Value (P/B ratio sort), Momentum (12-1 month return), Quality (ROE sort), and Low Volatility (12-month realized vol sort). Using 3 years of NSE price data and financial data from Screener.in, build top-quintile and bottom-quintile portfolios for each factor. Calculate each factor's annualized return, Sharpe ratio, and maximum drawdown. Run pairwise correlations. Then construct an equal-weighted 5-factor portfolio and compare to Nifty 50. Write a 2-page research note on which factors work in India and why.

Time box: 6-8 days

Data/source: yfinance for NSE price data, Screener.in CSV exports for P/B, ROE (free), NSE sector index data

Constructed Fama-French style 5-factor model for Indian equities; measured factor premia and correlations using 3 years of NSE data; wrote research note on which factors have empirical support in India.

CFP Institute (India) is the certification standard. CA Rachana Ranade is the best Hindi resource for personal finance and client communication frameworks. The Valuation School covers PMS/AIF/MF regulations for wealth managers.

Comprehensive Financial Plan for a Fictional Indian Client

Create a full financial plan for a fictional Indian client profile: 35-year-old salaried professional, INR 25 LPA income, married, 2 children (ages 5 and 7), owns one home with INR 40 Lakh outstanding mortgage, existing savings INR 15 Lakh in FDs and INR 5 Lakh in equity. Goals: children's education in 13 and 15 years (INR 30 Lakh each in today's money), retirement at 60 with INR 2 Cr corpus in today's money, term insurance review. Build the full plan: cash flow statement, net worth statement, goal funding calculations (using XNPV/XIRR), asset allocation recommendation, product selection (specific MF schemes with rationale), and insurance gap analysis.

Time box: 5-6 days

Data/source: AMFI NAV data (amfiindia.com, free), Value Research MF data (free tier), IRDA insurance regulation data

Built comprehensive financial plan for fictional Indian client; computed SIP requirements for 3 goals using XIRR, designed asset allocation, selected specific MF schemes, and analyzed insurance coverage gap.

CA Rachana Ranade is the most viewed Hindi educator on Indian personal taxation. Labour Law Advisor covers tax and succession law comprehensively in Hindi. ClearTax publishes free India tax guides. The Valuation School covers tax implications of investment products.

Tax Optimization Strategy for a Fictional HNI Client

Your fictional HNI client: age 45, business income INR 80 LPA, equity portfolio INR 2 Cr (unrealized LTCG of INR 60 Lakh), one inherited property (value INR 1.5 Cr, purchase price in 1990 at INR 8 Lakh), wife and 2 adult children. Design a comprehensive 5-year tax optimization plan covering: (1) optimal LTCG harvesting from equity portfolio each year to use the INR 1 Lakh LTCG exemption, (2) property sale tax calculation with indexation and investment in 54EC bonds, (3) HUF formation assessment - will it save tax for this family?, (4) charitable deduction optimization under Section 80G, (5) succession plan using will vs. private trust comparison. Show year-by-year tax liability with and without optimization.

Time box: 5-6 days

Data/source: Income Tax Act 1961 (indiacode.nic.in, free), CPI Indexation data (RBI, free), SEBI/AMFI LTCG provisions

Built 5-year tax optimization plan for fictional HNI client; quantified tax savings from LTCG harvesting, property sale indexation, and HUF formation; compared succession planning options using will vs. private trust framework.

Patrick Boyle explains structured products with practitioner clarity — cited by finance professionals studying for FICC interviews. BIWS covers structured finance in the leveraged finance context. The Valuation School covers Indian securitisation — RBI ARC framework, PTC structures.

ABS Waterfall Model - Indian NBFC Securitization

Build an ABS waterfall model for a fictional Indian NBFC securitizing a pool of 2-wheeler loans. Pool: INR 100 Cr, average LTV 80%, average tenor 36 months, WAC 18%, expected default rate 3%. Structure: Senior tranche (80% = INR 80 Cr, rated AA, yield 8.5%), Junior/Subordinate tranche (20% = INR 20 Cr, retained by originator). Build monthly cash flow waterfall for 36 months: principal collections + interest collections -> fees -> senior interest -> senior principal -> subordinate payments. Stress test: default rate at 3%, 6%, and 9% - when does the senior tranche suffer principal loss? Write a 2-page rating rationale as if you were a credit analyst at CRISIL.

Time box: 5-6 days

Data/source: Self-constructed pool (use CRISIL/ICRA 2-wheeler ABS public reports for realistic default rate assumptions, free from their websites)

Built ABS waterfall model for INR 100 Cr 2-wheeler loan pool securitization; stress-tested senior tranche protection at 3/6/9% default rates; wrote CRISIL-style rating rationale.

BIWS covers channel check methodology from a sell-side ER angle. Expert network discussions on r/SecurityAnalysis and Bloomberg Forums. Hindenburg, Muddy Waters, and Capitalmind publish the best investigative research models to study.

Pre-Earnings Channel Check Report - 10 Contacts, 1 Company

Choose a listed Indian retailer, FMCG, or consumer durables company with an upcoming quarterly results announcement. Before the results, conduct 10 primary contacts: call or visit 5 retail stores/dealers carrying the brand, call 3 distributors, and speak with 2 industry professionals or former employees (LinkedIn is fine for finding former employees). Ask each about: sales momentum in the last quarter, inventory levels, price changes, competitor activity, and any surprising developments. Synthesize into a 3-page primary research report with your earnings preview forecast. After results, compare your primary data to management guidance - where did they match and where did they diverge?

Time box: 2 weeks (interview phase) + 2-3 days (write-up)

Data/source: Primary contacts (in-person, phone, LinkedIn), BSE India quarterly results for post-event comparison

Conducted 10-contact primary research program for [Company] ahead of quarterly results; synthesized channel check findings into 3-page earnings preview; compared primary data to management's reported results identifying 3 divergences.

Damodaran's governance lectures cover how governance affects valuation. Capitalmind publishes the best Indian governance case studies. Labour Law Advisor covers SEBI LODR governance requirements in Hindi. SEBI enforcement orders (sebi.gov.in) are primary sources.

Governance Scorecard - Red Flags vs. Best Practice for 2 Companies

Choose 2 Indian listed companies: one with a strong governance reputation and one you suspect (based on public information) may have governance concerns. Evaluate each across 10 governance dimensions using publicly available data: (1) Board independence %, (2) Auditor tenure and any qualifications in auditor report, (3) Related-party transactions as % of revenue, (4) Promoter pledging %, (5) Management compensation as % of PAT, (6) Disclosure of contingent liabilities, (7) Consistency of accounting policy, (8) Cash flow vs. reported PAT reconciliation, (9) SEBI enforcement actions or show-cause notices, (10) Annual report quality and readability. Score each 1-5. Write a 3-page comparative governance report.

Time box: 5-6 days

Data/source: BSE India annual reports (free), SEBI enforcement orders (free), Screener.in cash flow data (free), MCA21 director database (free)

Conducted 10-dimension governance audit comparing [Company A] and [Company B]; identified 3 governance red flags in [Company B] using SEBI filings and annual report disclosures; assessed valuation multiple impact.

Capitalmind (Deepak Shenoy) publishes the best Indian forensic analysis — DHFL, IL&FS, Satyam, Yes Bank covered in detail. Cited across ValuePickr, Safal Niveshak, and r/IndiaInvestments. CA Rachana Ranade covers red flags in Hindi. Howard Schilit's 'Financial Shenanigans' is the global text.

Forensic Accounting Deep Dive - 8 Red Flags Analysis

Choose any Indian mid-cap company that has had past accounting controversies OR a company in a sector known for aggressive accounting (construction, micro-finance, or infrastructure). Using only publicly available data (annual reports, BSE filings, SEBI orders), check the company against 8 forensic red flags: (1) CFO < Net Income for 3+ consecutive years, (2) Receivables growing faster than revenue, (3) Inventory growing faster than COGS, (4) Related-party transactions > 5% of revenue, (5) Auditor qualifications or key audit matters flagged, (6) Contingent liabilities disproportionate to assets, (7) Capitalization of expenses that peers expense, (8) Divergence between reported profits and taxes paid. Write a 4-page forensic analysis report rating each flag Red, Amber, or Green with specific evidence.

Time box: 5-7 days

Data/source: BSE India annual reports (free), Screener.in (free), SEBI enforcement orders (free), MCA21 (free)

Conducted forensic accounting analysis of [Company] across 8 red flag dimensions using 5-year historical data; identified CFO/PAT divergence and receivables inflation as material concerns; wrote 4-page forensic analysis report.

Stanford's Matt Abrahams is the most respected English communication educator for professionals. Ankur Warikoo is undisputably India's #1 career communication resource in Hindi - his combination of ISB MBA background, Fortune recognition, and 5 bestselling career books gives him unmatched credibility for Indian students. FinPreparoo prioritizes free or free-to-audit resources so cost does not block learning. Crowd research uses public Reddit threads, web results, and YouTube search — not private social feeds.

3-Minute Stock Pitch - Recorded and Self-Reviewed

Record yourself delivering a 3-minute verbal pitch on a stock of your choice. The pitch must include: investment thesis, key financial metrics, one risk and how you'd mitigate it, and a buy/sell recommendation. Record on your phone or Loom. Review it critically against a rubric: clarity of thesis, handling of numbers, pacing, filler words, eye contact. Revise and record a second version. Compare both.

Time box: 2 days (including revisions)

Data/source: Your own equity research project (link to valuation project above)

Delivered stock pitch for [Company] in simulated investment committee setting; recorded, self-reviewed, and revised against professional communication rubric.

The Pyramid Principle is the non-negotiable framework - learn it before your first day at any finance or consulting firm. The Coursera Business Writing course is the best free structured path. Warikoo covers the Hindi-language side of professional communication with credibility. FinPreparoo prioritizes free or free-to-audit resources so cost does not block learning. Crowd research uses public Reddit threads, web results, and YouTube search — not private social feeds.

Investment Memo - 2 Pages, Pyramid Structure

Write a 2-page investment memo for a fictional IC (Investment Committee) recommending whether to invest INR 10 Cr in a listed Indian mid-cap company. Use the Pyramid Principle: lead with your recommendation, then support it with 3 key arguments, then provide evidence for each. No bullet-point dumps - write in professional prose. Get someone to read it cold and tell you what your recommendation was after reading only the first paragraph.

Time box: 2-3 days

Data/source: Your valuation project as the analytical foundation

Authored 2-page IC-format investment memo for INR 10 Cr equity investment using Pyramid Principle structure; memo communicated recommendation within opening paragraph.

HBR YouTube is the English professional standard for stakeholder management education. Warikoo is the Hindi equivalent for Indian workplace context. The most important principle: over-communicate before deliverables are late, not after. This single habit separates trusted analysts from unreliable ones. FinPreparoo prioritizes free or free-to-audit resources so cost does not block learning. Crowd research uses public Reddit threads, web results, and YouTube search — not private social feeds.

Stakeholder Map + Difficult Conversation Role-Play

For any internship, college project, or mock deal scenario you have done: create a stakeholder map identifying all people involved, their interests, their power level, and how you would manage each. Then write out 3 difficult conversations you would need to have (e.g. telling an MD the model has an error, asking a client for an extension, pushing back on an unrealistic deadline). Script each conversation using the HBR 'SBI' (Situation-Behavior-Impact) framework. Role-play them with a friend or record yourself.

Time box: 2-3 days

Data/source: Your own experience (internship, project, capstone)

Managed cross-functional stakeholder communication across [X] parties during [project]; navigated conflicting priorities by proactive expectation-setting and structured escalation.

Ali Abdaal for evidence-based productivity systems in English. Warikoo for the Hindi-language equivalent with Indian professional context. The most important thing is not which system you choose - it is building the habit of weekly planning and daily prioritization before you start your job, not after. FinPreparoo prioritizes free or free-to-audit resources so cost does not block learning. Crowd research uses public Reddit threads, web results, and YouTube search — not private social feeds.

Personal Workflow Audit and System Build

Conduct a 2-week time audit using Toggl (free). Track every hour across 5 categories: deep work, reactive work (email/messages), meetings, admin, and breaks. Analyse where your actual time goes vs. where you think it goes. Then design your personal workflow system: weekly planning template, daily top-3 priorities method, email batching, and a focus block schedule. Run the new system for 2 weeks and compare output quality and stress levels before/after.

Time box: 4 weeks total (ongoing habit, not a one-time task)

Data/source: Your own time tracking data

Designed and implemented personal productivity system using time-block scheduling and weekly review; sustained output quality across 80+ hour simulated deal week during capstone project.

FinPreparoo prioritizes free or free-to-audit resources so cost does not block learning. Crowd research uses public Reddit threads, web results, and YouTube search — not private social feeds.

Role-specific interview answer bank

Create a technical and behavioral interview bank for a target finance role with STAR stories, model explanations, and project talk tracks.

Built a role-specific finance interview bank with technical answers, behavioral stories, and project talk tracks.

Cole Nussbaumer Knaflic is the undisputed authority on data storytelling - her book and YouTube channel are used in MBA programs globally. For Hindi-language visual communication education, Avi Singh covers the finance-specific application. The most impactful exercise: take your last financial model output and redesign it as if you were presenting it to someone who has never seen a spreadsheet. FinPreparoo prioritizes free or free-to-audit resources so cost does not block learning. Crowd research uses public Reddit threads, web results, and YouTube search — not private social feeds.

Annual Report Turned Into a 5-Slide Data Story

Take the annual report of any listed Indian company and distill its financial performance story into exactly 5 slides - no more. Each slide must make one clear point. No data dumps, no standard bar charts copied from Excel. Every chart must be redesigned following Cole Nussbaumer's SWD principles: clear title that states the insight, minimal non-data ink, one highlighted data point that drives the message. The audience is a CEO with 5 minutes.

Time box: 2-3 days

Data/source: BSE India annual reports (free)

Distilled [Company] annual report into 5-slide CEO-facing data story; redesigned financial charts following SWD principles to drive single clear insight per slide.

NIRI (National Investor Relations Institute) publishes free guidance. The Valuation School covers Indian IR (SEBI LODR, price-sensitive information rules). BIWS covers IR from the analyst/investor-side perspective.

Investor Relations Audit + Earnings Call Simulation

Part 1 - IR Quality Audit: Choose any 2 Nifty 50 companies. Compare their IR programs across 6 criteria: frequency and clarity of earnings call commentary, quality of investor presentation, speed of SEBI disclosure filing (time from event to BSE filing), analyst coverage breadth, website IR section quality, and annual report readability. Score each company 1-5 per criterion. Write a 2-page IR quality audit. Part 2 - Earnings Call Simulation: From a company's most recent earnings call transcript and press release, write the CFO's prepared remarks (5 minutes, covering key financial highlights and guidance) and prepare 10 tough analyst Q&A responses - as if you were the IR Director prepping the CFO.

Time box: 4-5 days

Data/source: NSE earnings call audio recordings (free), BSE India SEBI filings (free), company IR websites

Conducted IR quality audit for 2 Nifty 50 companies across 6 best practice criteria; simulated CFO earnings call remarks and prepared 10 analyst Q&A responses for [Company]'s recent quarter.