A chronological timeline of production releases, hackathons, research models, open-source commits, and engineering milestones with exact timestamps.
Representing IIT Delhi Entrepreneurship Development Cell (eDC) across campus at JB Institute of Technology, engaging 500+ students through startup talks and innovation workshops.
Engineered an end-to-end machine learning pipeline predicting student exam scores from study hours using Linear Regression, Pandas, Matplotlib, and Scikit-learn, achieving an R² score of 0.92 on test data.
Successfully organized and hosted AI/ML workshops focusing on Google Gemini AI and generative tools for 200+ students, tripling active community participation over a 4-month period.
Contributed to 5+ open-source repositories during Hacktoberfest 2025, submitting merged pull requests for Python-based data science tools, and selected as official Representative for ECWoc.
Conducted comprehensive EDA on the Titanic dataset with 10+ custom visualizations, Title-based age imputation, and demographic survival analysis in Python, Pandas, and Seaborn.
Analyzed a 5,000-row retail sales dataset to discover top-performing product categories, regional margins, and seasonal demand trajectories using Python, Pandas, Matplotlib, and Seaborn.
Implemented foundational digital image processing algorithms including grayscale conversion, Gaussian blurring, Canny edge detection, and contour analysis across 50+ test images.
Successfully earned verified certification in Python for Data Science from IBM and Cognitive Class, validating core competencies in data structures, Pandas, NumPy, and analytical scripting.