Rishabh Jain

Participated in organization onboarding and technical enablement programs. Strengthened expertise in SQL, Python, data engineering, and AI through structured learning and hands-on practice.

Orchestrated cross-functional programs across Product, Engineering, QA, and Data teams to deliver platform-wide enhancements and ensure regulatory compliance. Managed stakeholder communication, risk tracking, and milestone alignment to achieve seamless, on-time deployments.

Built a unified script to ingest CSV files from Gmail into BigQuery, reducing manual processing by 95% and avoiding duplicate entries. Created dashboards to monitor pipeline lags and developed KPI dashboards for metrics like eGMV.

Developed a predictive model to forecast call volumes and predict escalation, achieving 82.3% accuracy and reducing workforce-related costs by 24%. Analyzed price elasticity factors and developed an Early Warning System to provide actionable insights.

Assisted in optimizing product strategies through data-driven insights, ensuring effectiveness across markets. Contributed to creating personalized curricula for international clients and employed data analysis to enhance product adoption and success metrics.

Developed and tested diverse Machine Learning models and managed databases for real-time analysis. Prototyped proof of concepts and contributed to applications including a Smart Calendar Companion, Product Recommendation, Cricket Shot Classifier, and OCR.

Pursued an MBA in Data Analytics and Operations, graduating in 2023.

Completed a B.Tech in Mechatronics from the College of Engineering Studies, University of Petroleum and Energy Studies in 2017.