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RHarmit/README.md

Harmit Rajyaguru

Investment Analytics • Equity Research • Portfolio & Risk • Quantitative Finance

I build practical financial tools that transform market data, portfolio statistics, risk measures, technical signals, sentiment, and macro information into clearer investment research and decision support.

Python SQL TypeScript React Streamlit Power BI


Professional Focus

  • M.S. in Financial Mathematics (STEM) from the University of Illinois Chicago, GPA 3.90/4.00, placing in the top 1% of UIC Finance students by GPA
  • Managed a $100K investment portfolio and generated $25K in realized gains; presented equity ideas to portfolio managers and ranked in the top 10% for analytical excellence
  • Experience spanning equity research, portfolio construction, performance attribution, market risk, derivatives, fixed income, structured products, and HNW portfolio analysis
  • Improved portfolio-data processing by 15% with SQL, supported approximately $500K in investment decisions, and automated client-ready reporting and monthly reconciliations with Power Query and Excel
  • Used Bloomberg, Python, SQL, Excel, Power BI, and FactSet for idea generation, Sharpe Ratio, Information Ratio, XIRR, VaR and exposure monitoring, and reusable financial dashboards; conducted research across 20+ banks and 50+ ESG-rated firms
  • CME Group University Trading Challenge winner and invited to participate in the CBOE closing-bell ceremony

Project Priority Ranking

The ranking below is designed for recruiters and hiring managers reviewing my work for equity research, investment analyst, portfolio analyst, market-risk, and quantitative-finance roles. It prioritizes direct market relevance, technical depth, financial interpretation, usability, and completeness.

Rank Project Why it matters
1 SwingPick — NSE 500 Research Platform My most comprehensive full-stack market project, combining stock screening, technicals, fundamentals, sentiment, sector analysis, momentum, breakouts, market news, and stock-level research views
2 NSE 500 Momentum Screener Scans the NSE 500 and ranks stocks using ADX, MFI, relative volume, ROC, MACD, price constraints, and sector-performance analysis
3 Ensemble Portfolio Optimizer Blends Max-Sharpe, Min-Volatility, Risk-Parity, and Momentum models with technical, sentiment, VaR, CVaR, and seasonality analytics
4 Global Markets Map Interactive global-equity visualization designed to compare market performance across countries and regions
5 Advanced Stock Analysis Examines intraday price, return, and volume behavior to identify meaningful market windows and unusual movements
6 Automated Portfolio Analytics & Risk Assessment Connects portfolio performance with volatility, drawdown, risk-adjusted returns, and automated reporting
7 Stock News Sentiment Uses financial-news text to add an alternative-data layer to market research
8 Portfolio Optimization Demonstrates asset allocation, diversification, expected return, and portfolio-risk trade-offs
9 Black-Scholes Option Analytics Applies option-pricing theory, payoff analysis, volatility, and sensitivity concepts
10 REIT Investment Analysis Extends public-market research into listed real-estate securities and investment comparison
11 Economic Indicator Analysis Connects macroeconomic information with financial-market interpretation
12 Portfolio Risk Analysis & Stress Testing Evaluates how portfolios may behave under adverse market scenarios rather than relying only on normal-period statistics
13 Dynamic FX Risk Management & Hedging Demonstrates hedge design, currency-risk control, and risk-adjusted performance evaluation
14 Fixed-Income Portfolio Risk & Performance Tracker Tracks Treasury-market behavior, fixed-income returns, and portfolio risk
15 ABS Cash-Flow Simulation & IRR Models loan cash flows, securitization tranches, and investor return outcomes

The remaining projects are grouped below by career relevance so the complete portfolio is visible without overwhelming the profile.


Best Projects by Role

Target role Most relevant projects
Equity Research / Investment Analyst SwingPick, NSE 500 Momentum Screener, Advanced Stock Analysis, Stock News Sentiment, REIT Analysis, Economic Indicator Analysis
Portfolio Analyst / Asset Management Ensemble Portfolio Optimizer, Automated Portfolio Analytics, Portfolio Optimization, Portfolio Performance Analyzer, Stress Testing
Market Risk / Quantitative Risk Portfolio VaR, Stress Testing, Dynamic FX Hedging, Market Risk Analyst, Black-Scholes
Fixed Income / Structured Products Fixed-Income Risk Tracker, Bond Portfolio Monitor, 10-Year Treasury Analysis, ABS Simulation, CLO Reporting
Markets Operations / Portfolio Reporting Trade Reconciliation Dashboard, Corporate-Action & Index Analysis, Automated Reporting, Loan Data ETL
Financial Data / Business Analytics Financial Insight Dashboard, Variance Forecasting, Power BI Sales Dashboard, SQL projects, anomaly detection

Complete Project Portfolio

1. Equity Markets, Stock Research & Macro
Project Primary focus
SwingPick Full-stack NSE 500 stock-research and screening platform
NSE-500 Momentum, volume, technical-factor, and sector screening
Global Markets Map Cross-country equity-market visualization
Advanced Stock Analysis Intraday price, return, volume, and trading-window analysis
Stock News Sentiment News-based sentiment and market-research signals
FOMC Sentiment Analysis (private research repository) Monetary-policy language, hawkish/dovish classification, and macro drivers
Economic Indicator Economic-data interpretation for market analysis
REITs Public real-estate investment analysis
Black-Scholes Option pricing, payoff, volatility, and sensitivity analysis
Trading Error Analysis Review and analysis of trading-related errors and outcomes
2. Portfolio Management, Risk & Derivatives
Project Primary focus
Ensemble Portfolio Optimizer Multi-model portfolio construction with market and sentiment overlays
Portfolio Backend Supporting backend service for portfolio applications
Portfolio Optimization Allocation, diversification, expected return, and portfolio risk
Automated Portfolio Analytics & Risk Assessment Performance, risk-adjusted metrics, drawdown, and reporting
Portfolio Risk Analysis & Stress Testing Scenario analysis and adverse-market portfolio behavior
Portfolio VaR Analysis Value-at-Risk and portfolio loss estimation
Financial Portfolio Performance Analyzer Portfolio return and performance-measurement analysis
Dynamic FX Risk Management & Portfolio Hedging Currency hedging and risk-adjusted portfolio protection
Market Risk Analyst Commodity exposure, P&L behavior, and market-risk measurement
Financial Insight Dashboard Consolidated financial metrics and decision-support visualization
3. Fixed Income, Credit & Structured Products
Project Primary focus
Fixed Income Core bond and fixed-income analytics
10-Year Treasury Yield Analysis Tool Treasury-yield behavior and interest-rate analysis
Fixed-Income Portfolio Risk & Performance Tracker Treasury returns, volatility, and risk tracking
Fixed-Income Portfolio Monitoring & Risk Tool Duration, yield curve, composition, and portfolio monitoring
ABS Cash-Flow Simulation & IRR Loan-pool cash flows, tranches, and investor IRR
CLO Reporting Python Tool CLO compliance, portfolio monitoring, and reporting
Credit Syndication Analysis Syndicated-credit and lender-participation analysis
Loan Portfolio Risk Management & Insights Loan-level risk, monitoring, and portfolio insights
Loan Portfolio Performance Analysis Loan performance and portfolio-quality analysis
Credit Score Analysis Borrower-credit and scoring analysis
Real Estate Investment Tool Real-estate investment evaluation and return analysis
4. Markets Operations, Reporting & Financial Data Quality
Project Primary focus
Trade Reconciliation & Cash Monitoring Dashboard Trade breaks, cash monitoring, margin shortfalls, and controls
Automated Index Calculation & Corporate-Action Analysis Index maintenance, corporate actions, and calculation workflow
Automated Reporting System Repeatable financial-reporting automation
Financial Variance Analysis & Forecasting Budget-versus-actual analysis and forecasting
Loan Data Cleaning & Normalization Missing values, outliers, standardization, and financial-data quality
5. Broader Analytics, ESG, Business Intelligence & SQL
Project Primary focus
Energy Data Analysis & ESG Insights Energy data, efficiency, and ESG-related analysis
Utility Data Validation & Anomaly Detection Data-quality testing and unusual-pattern detection
Energy Benchmarking & Building Efficiency Score Comparative efficiency measurement and scoring
Compensation Analytics & Pay-Equity Insights Compensation analysis and pay-equity diagnostics
Power BI Sales Dashboard Business-intelligence dashboarding and commercial KPIs
Customer Purchase Trends & Revenue Insights Customer behavior, purchasing patterns, and revenue analysis
Sales Performance Tracker Sales KPIs, performance monitoring, and reporting
Payment Optimization Analysis Payment behavior and optimization analysis
Automated Expense Tracking Expense classification and reporting automation
Event Ticket Profitability Analysis Pricing, revenue, cost, and profitability analysis
SQL Queries SQL practice and query development
SQL Queries Implementation Applied SQL-query implementation

Technical Toolkit

Finance        Equity research • Portfolio optimization • Performance attribution
               VaR/CVaR • Stress testing • Fixed income • Derivatives • Hedging
               Structured credit • Securitization • Market and sector analysis

Programming    Python • SQL • TypeScript • JavaScript • HTML/CSS

Analytics      pandas • NumPy • SciPy • statsmodels • Excel • Power Query • Power BI

Visualization  Plotly • Matplotlib • Recharts • D3.js • Chart.js

Applications   Streamlit • React • Express • FastAPI

Data           yfinance • market-data APIs • financial statements • news and text data

Project Standard

I aim for each project to do more than calculate a metric. A strong financial tool should:

  1. Make its assumptions and methodology visible
  2. Validate the quality and coverage of its input data
  3. Connect outputs to a financial interpretation
  4. Show both return opportunities and risk limitations
  5. Produce a result that another analyst can reproduce and use

Research disclaimer: These repositories are analytical and educational projects. Their outputs are not personalized investment advice, and market data may be delayed or subject to provider limitations.

Finance first. Data-driven. Built to be useful.

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