Arpan Pareek

Data-focused professional with hands-on experience cleaning, transforming, and summarizing operational datasets, and a technical background building the pipelines and databases (Python/Pandas, SQL, PostgreSQL, MongoDB) that keep that data accurate end-to-end. Comfortable working across spreadsheets, relational databases, and APIs to prep data for reporting and decision-making.

Computer

Science graduate (UPES, 2026).

Full Stack Developer at Virtuon (2026-01 – 2026-06)

• Handled data flow between front-end interfaces and backend/LLM-based services via REST APIs, ensuring accurate data exchange across a production MERN-stack application
• Worked with MongoDB as part of a cross-functional team, supporting cloud deployment workflows and scalable application architecture

Data Analyst at MedalMobility (2025-09 – 2025-10)

• Analyzed operational and mobility datasets with Python (Pandas) to surface efficiency gaps, generating insights that directly informed business decisions
• Built data pipelines to clean, transform, and summarize daily operational metrics, cutting manual reporting effort for the team

Project Intern at Phemesoftware Pvt Ltd (2025-06 – 2025-07)

• Designed an end-to-end data preprocessing and augmentation pipeline in Python/Pandas that cut model overfitting by 15% across a 10,000+ record image dataset
• Built a CNN for binary pneumonia detection (TensorFlow/Keras), reaching 95% validation accuracy

B.Tech in Computer Science – UPES (2022 – 2026)