M.S. (Physics), Ph.D. (Physics)
📞 859-457-1924 | ✉️ bhattathakur2015@gmail.com | LinkedIn | GitHub
Physics graduate with a strong foundation in Physics, Mathematics, and Statistics, complemented by a deep passion for computational problem-solving. Skilled in C++, Python, and modern data technologies for analysis, automation, and optimization, with formal training in machine learning fundamentals and experience applying data-driven techniques to real-world challenges. Beyond my formal research, this portfolio highlights my hobby and side projects focused on data analysis and machine learning—primarily centered on stock market data due to its rich, granular, and dynamic nature influenced by market sentiments and global economic factors. These projects reflect my enthusiasm for coding and creating practical solutions, and the skills I’ve developed are readily transferable across diverse data types and domains.
A robust Python + Streamlit dashboard analyzing S&P 500, DOW 30, NASDAQ 100, and IPOs with technical filters and visualizations.
View DashboardStreamlit app using the USAJobs API to filter and map federal jobs by state, title, and more — with PDF export and direct apply links.
View AppReal-time headlines with AI-powered sentiment analysis and text-to-speech, using Finnhub API.
Live AppIdentifies 61 candlestick patterns across major indices with detailed metrics and visual charts.
Open ScreenerSimulates breakout-based strategies with customizable thresholds and visual output. Downloadable CSV results.
Try Backtest ToolTrack real-time and historical stock portfolio performance using Yahoo Finance and yfinance API.
Track PortfolioMinute-by-minute monitoring with technical alerts and voice notifications. Works during market hours.
Live Data TrackerReplay intraday stock movement for any of the last five business days. Insightful for day traders.
Replay StockDisplays NASDAQ's top 10 gainers/losers across categories (MEGA, LARGE, etc.) with key stats.
NASDAQ MoversAnalyzes various volume/price-based breakout strategies with detailed signal and summary CSVs.
GitHub FilesCombines 5-day one-minute stock data with option chains to identify price movement signals.
View ReportAnalyzes VWAP over a 5-day window to identify pullback zones for selected tickers.
GitHub Notebook