// IIT Madras · Data Science · Machine Learning
I am a Data Science student at IIT Madras with hands-on experience in data analytics, machine learning, ETL pipelines, and web development. I have worked across multiple internships where I handled real-world datasets, automated workflows, and delivered insights to support business decisions.
I enjoy transforming raw data into meaningful insights and building clean, developer-friendly applications using Python and modern web technologies. I believe in the power of data to unlock hidden patterns — much like seeing through the Matrix.
LightGBM, scikit-learn, TF-IDF, Feature Engineering, Classification, NLP
Python, SQL, ETL, Data Scraping, Predictive Modeling, Data Analysis
Flask, HTML, CSS, Bootstrap, REST APIs, JavaScript
Git, GitHub, Excel, MS Office, VS Code, Jupyter
Python · LightGBM · scikit-learn · TF-IDF · pandas
End-to-end ML pipeline for multi-class text classification on ~198K rows. Engineered features including log transforms, vote ratios, temporal features, and word/character TF-IDF n-grams. Achieved Macro F1 Score of 0.83187 using LightGBM, tackling severe class imbalance (55% vs 4%) with mixed text and numerical data.
Flask · SQLAlchemy · Bootstrap
Developed a full-stack web application to digitize hospital operations, manage patient records, and centralize administrative workflows. Improved data accuracy and reduced manual errors using a database-driven design.
⟩ View on GitHubPython · Data Analysis · Forecasting
Analyzed sales, inventory, and cost data to identify reasons for stagnant profits. Discovered utilization gaps and seasonal trends, and proposed data-driven strategies for demand forecasting and cost optimization.
⟩ View on GitHubAutomated data extraction and ETL pipelines, ensured data confidentiality, and prepared analytical reports for internal teams.
Tracked student engagement metrics, analyzed learning patterns, and supported customized learning path generation.
Built predictive models and analyzed trends to identify opportunities for operational and process improvements.
Collected and analyzed data from multiple sources and prepared reports to support data-driven decision-making.
Performed quality assurance on educational content, identified bugs, and collaborated with cross-functional teams to improve platform reliability.