Hi, I'm Vansh — Data Scientist

• Conducted comprehensive AI and machine learning case studies to solve complex business problems, delivering actionable, data-driven insights.

• Built and optimized advanced ML models using large datasets, applying feature engineering to improve prediction accuracy and model reliability.

• Collaborated with cross-functional teams to deploy real-world AI solutions, creating clear visualizations and reports to support strategic decision-making.

• Designed and implemented a River Water Quality Prediction System using supervised machine learning to analyze and predict water quality metrics.

• Performed end-to-end data preprocessing and feature engineering with Pandas and NumPy, including missing value handling, outlier detection, and feature scaling.

• Optimized models through hyperparameter tuning and evaluation, achieving 92% prediction accuracy, and integrated ML pipelines to deliver a production-ready solution under tight deadlines.

• Engineered A scalable web applications with seamless front-end and back-end integration.

• Developed interactive React.js user interfaces and implemented RESTful APIs using Node.js and Express.js, with optimized MongoDB schemas for performance and scalability.

• Contributed to a real-time e-commerce platform, actively participating in code reviews, debugging, deployments, and agile development workflows.