Freelance Data Modelling Analysts in New YorkFreelance Data Modelling Analysts in New York
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Mo Rahman's avatar
Mo Rahman
New York, USA
A/B Testing Statistician for SaaS & E-commerce Teams
11
Followers
A/B Testing Statistician for SaaS & E-commerce Teams
Cover image for Queens Price Prediction: Random Forest Cut RMSE by $6.5K
Queens Price Prediction: Random Forest Cut RMSE by $6.5K
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Cover image for E-Commerce Data Platform Rebuild
E-Commerce Data Platform Rebuild
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Cover image for CVR Rose 8%, but Profit per Visitor Fell 6%
CVR Rose 8%, but Profit per Visitor Fell 6%
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11
Cover image for Five Arms, One Nominal Winner, Zero Valid Launches
Five Arms, One Nominal Winner, Zero Valid Launches
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5
Data Modelling Analyst(2)
Semina Kosti Stavri's avatar
Semina Kosti Stavri
proNew York, USA
Investor-Ready Financial Models & Valuation | M&A, DCF, LBO
New to Contra
Investor-Ready Financial Models & Valuation | M&A, DCF, LBO
Cover image for Municipal finance forecasting analysis of
Municipal finance forecasting analysis of New York City revenues and expenditures through FY2029. I developed category-level forecasts using multiple methodologies, including linear extrapolation, economic indicators, compound annual growth rates, and historical averages, selected based on the behavior and underlying drivers of each budget line. The analysis incorporates income tax revenue, real estate tax revenue, federal and state aid, and expenditure categories, translating historical trends and external economic indicators into forward-looking budget projections. I also documented the assumptions and methodology behind each forecast to make the analysis transparent.
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Cover image for Independent financial modeling and valuation
Independent financial modeling and valuation case study for Dutch Bros. I built an integrated operating model with historical financials and forward projections, linking revenue growth, store expansion, operating costs, margins, EBITDA, net income, and EPS. The model includes detailed revenue and cost builds, quarterly and annual forecasts, scenario-driven assumptions, and valuation analysis, allowing key operating drivers to flow through to earnings and implied value.
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Cover image for Independent thematic investment analysis of
Independent thematic investment analysis of the digital infrastructure value chain and the physical constraints shaping AI-driven demand. I evaluated how power availability, grid interconnection, water and thermal requirements, and network density affect economics across data centers, utilities, cooling equipment, fiber/interconnection, and water infrastructure. The analysis translates sector-level demand drivers into investable themes, underwriting variables, cash-flow characteristics, and key risks, with particular attention to power scarcity, permitting, capital intensity, contract duration, and technology-driven demand shifts.
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Cover image for Independent M&A case study evaluating
Independent M&A case study evaluating KONE’s proposed acquisition of TK Elevator. I analyzed transaction economics, strategic fit, synergy realization, leverage and EPS implications, execution risks, and KONE’s standalone valuation. The analysis combines public-company financials, transaction assumptions, scenario analysis, and market data into a concise, decision-oriented view of both the transaction and KONE equity.
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Data Modelling Analyst(2)
Mboya Jeffers's avatar
Mboya Jeffers
New York, USA
Data engineer who builds full-stack analytics platforms.
New to Contra
Data engineer who builds full-stack analytics platforms.
Cover image for Automated equity portfolio analytics report
Automated equity portfolio analytics report — live performance vs SPY benchmark (Sharpe ratio, Beta, R-squared, annualized return, max drawdown). Macroeconomic environment section pulls directly from FRED: GDP, CPI, unemployment, Fed Funds rate, 10-year yield. All figures source-attributed with pull date. Built with Python — Yahoo Finance + FRED API, fully automated from data pull through PDF generation.
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Cover image for Q2 2026 S&P 500 sector
Q2 2026 S&P 500 sector performance scoreboard — 11 GICS sectors ranked by quarterly return, YTD, 52-week return, annualized volatility, and momentum signal. Technology led Q2 at +45.5%, Utilities lagged at -5.2%. SPY benchmark included for comparison. Momentum classification (Bullish/Neutral/Bearish) based on 20-day vs 50-day MA crossover with price confirmation. Live data pulled from Yahoo Finance. Fully automated — Python handles the data pull, computation, ranking, and PDF generation.
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Cover image for Automated crypto portfolio intelligence report
Automated crypto portfolio intelligence report — 20 digital assets ranked by market cap, weight, and multi-timeframe return (24h, 7d, 30d). Includes executive summary with portfolio-level Sharpe ratio, weighted return, VaR at 95% confidence, and concentration risk flag. Live data pulled from CoinGecko API. Built with Python — fully automated from data pull through PDF generation.
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Cover image for Automated S&P 500 sector performance
Automated S&P 500 sector performance report — 11 GICS sectors ranked by Q2 return, YTD performance, 52-week return, annualized volatility, and momentum signal. Live data pulled from Yahoo Finance. Includes SPY benchmark comparison and Bullish/Neutral/Bearish momentum classification per sector. Delivered as a branded PDF on a quarterly cadence. Built entirely with Python — automated data pull, computation, and report generation. No manual inputs.
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Data Modelling Analyst(4)