Varun Vardhan

Data Science professional with hands-on experience in Python, Pandas, NumPy, SQL and machine learning. Experienced in data cleaning, exploratory analysis, feature engineering, class-imbalance handling, model benchmarking, cross-validation and model evaluation. Built recommendation, forecasting and customer-segmentation projects and deployed interactive ML applications with Streamlit. Business experience in operational analytics, inventory, sales and KPI reporting.

Co-Founder & Operations Lead at Neediti International (2024-01 – Present)

• Monitored multi-channel order fulfillment, supplier lead times and transit delays to identify distribution bottlenecks and improve delivery cycles.
• Analyzed unit economics, SKU velocity and warehouse holding levels in Excel to support stock replenishment and demand planning.
• Designed and maintained operational MIS reports covering stock turnover, delivery SLA compliance and gross margins for business decision-making.

AI & Data Science Intern / Trainee Project Lead at ExcelR (2026-01 – Present)

• Built data pipelines involving raw-data cleaning, feature engineering, class-imbalance handling and baseline model benchmarking.
• Tuned tree-based models with cross-validation and evaluated precision-recall trade-offs for model selection.
• Developed Streamlit applications to demonstrate real-time inference and present model evaluation metrics to non-technical users.

Bachelor of Computer Applications (BCA) in Data Science & Analytics – Manipal University Jaipur (2026-01)

Mechanical engineering coursework completed (degree not awarded )