• Implemented a pre-trained Hugging Face model on Segal's servers to utilize generative AI on sensitive public health data, while maintaining data security, improving productivity and reducing turnaround time for audit report generation.
• Leveraged SQL and Python to clean, preprocess and analyze medical PHI data for auditing purposes, and identify discrepancies. Developed Excel Macros to automate stratification process.

Software Developer

• Crafted fast and responsive progressive web application components – like store locator, personalized newsletter, and automated EMI calculator, and personal finance homepage using AngularJS, which improved user engagement significantly; currently serving over 500,000 active users monthly.
• Developed an in-house application operating React native to monitor in-store inventory of electronics, assisting 25,000 employees daily: reducing stock audit time and improving demand forecasting. Refurbished code, fixed bugs and created solutions for potential crashes of the application reducing the mean downtime.

Data Science Intern

• Identified and mapped interlinking attributes across diverse data tables, significantly improving data coherence and accessibility for analytical purposes. The data along with a detailed report was made available to the Government of India and the Bill and Melinda Gates Foundation for impactful investments in improving the nutrition of the underprivileged people.
• Developed automated scraping scripts in Python extracting over 4 million rows of data using Selenium and BS4; visualized using Pandas EDA techniques for effective decision making in devising strategies to improve nutrition for the rural sector of India.

Python Developer Intern

• Developed a trading bot and devised trading strategies with integration of sentiment analysis (using BERT) - by profiling major trading and VC accounts on Twitter and Reddit. The sentiment analysis improved the net profit by 20%.
• Researched extensively on historical OHLCV data to visualize trends including ATR, Fibonacci Retracement, moving averages, volatility, volume, etc. enabling the organization to invest over 5 million dollars.

Data Science Intern

• Developed an all-inclusive Applicant Tracking system (ATS) for in-house usage using lightweight Python-Spacy library, extracting percentage match for an individual profile with the job description. Visualized using matplotlib for efficient hiring.

Data Intern

• Implemented MySQL DBMS for efficient data storage and retrieval.
• Developed data visualization dashboards using Tableau to provide insights into sports performance metrics.