• Automated Query Resolution: Developed a RAG-based AI tool that reduced user-query response time from 48-72 hours to 2-3 seconds.• Supply Chain Optimization: On the Data Analytics & AI team, worked on a business case projected to save $25.4M in inventory costs and reduce Days On Hand by 20 days.• Methodology: ML, Time Series Analytics, Microservices, Retrieval-augmented Generation (RAG)• Tech stack: Python, OpenAI, LangChain, PowerBI

• Launched the "Pioneer Perspectives" alumni engagement series, effectively bridging the gap between students and alumni experts in data science, business intelligence, and recruiting• Successfully led a team of 12 core members and volunteers to organize expert panels & career workshops, collaborating with key industry leaders and organizations to benefit over 100 analytics students• Closely managed tasks to ensure timely execution and monitored finances, resulting in a boost in operational productivity while strategically saving 30% expenses• Secured the title of Most Improved Student Organization (2023-24) for the club

Analyzing Shopify and WooCommerce data to build recommendations for small businesses on performance optimization.

• Boosted client annual revenue by over 12% by optimizing go-to-market strategies, employing detailed statistical analysis of KPI trends and targeted forecasting to significantly improve revenue & customer satisfaction metrics, using python APIs• Structured and managed over 3TB of complex data to optimize data accessibility in automation and infrastructureworkflows, leveraging advanced Excel & SQL• Reduced project expenditure by 75% and minimized operational downtime by modernizing ETL pipelines through migration to AWS Cloud, leveraging Redshift for advanced analytics and optimized data processing• Built 50+ Tableau dashboard, enhancing real-time data access & operational efficiency with cross-functional teams

Developed 7 Flask-based APIs to automate the loan application process, reducing up to 80% operational time