Built a machine learning model to recommend outfits based on skin tone and body measurements using Python and Scikit-learn. Performed data preprocessing, feature engineering, and model evaluation to improve recommendation accuracy and personalize outfit suggestions.
Designed and developed a personal portfolio using React.js to showcase skills, projects, and achievements. Integrated contact form functionality and deployed the website for live access, demonstrating frontend development and deployment skills.
Performed comprehensive EDA on real-world datasets to identify trends and patterns using Python (Pandas, NumPy, Matplotlib). Cleaned and transformed raw data and generated visual reports to support data-driven decision making.
Built and evaluated machine learning models (Regression & Classification) during Data Science internship at ACTE Technology. Created visual reports using Excel and Tableau to communicate findings to stakeholders.