Falgun Kumar Sinha

• Drove a cross-functional computer vision solution with the Simulation and Analytics teams, using Faster R-CNN and ResNet-50 to detect bottle jamming and toppling on conveyors with 92% accuracy and trigger visual indicators. • Designed and trained a Soft Actor-Critic (SAC) reinforcement learning agent for bottle movement on multi-conveyor packer infeed, preventing slippage and falling with 89% transport success under varying physical conditions.

• Shaped AI product strategy and roadmaps, managing the backlog and prioritizing 12+ features through market and user research, PI planning and stakeholder alignment. • Launched an MVP of a RAG-enabled Generative AI chatbot to automate order support, translating customer use cases into product capabilities and reducing manual workload by 28%.

• Owned the product lifecycle of AI-powered recommendation and predictive analytics for digital commerce, contributing to 16% revenue growth through data-driven decision making. • Launched machine learning forecasting for sales, customer acquisition, and churn, improving accuracy by 22% and enabling robust product and commercial decisions. • Orchestrated big data analytics processing 0.3M+ social media interactions, converting behavioral KPIs into customer insights that strengthened customer engagement.

• Built Python and SQL-based data ingestion pipelines integrating 8+ sources for analytics and business decision making. • Architected and deployed ELT pipelines for 1.4M+ customers and sales records, enabling data mining, sales and demand forecasting and driving a 13% increase in ROI. • Automated Power BI dashboards and KPI reporting across 15+ metrics, reducing manual effort by 35%.

• Devised data processing and ETL workflows using Python and SQL for production and inventory data, integrating multisource datasets and reducing processing time by 25%. • Developed analytical datasets and SAP BI dashboards for production planning and demand forecasting, delivering insights to 410+ stakeholders and reducing reporting effort by 32%.

• Integrated and transformed customer, account, and financial transaction data from 5+ enterprise sources, creating reliable datasets for reporting and analytics. • Constructed reports and dashboards using SAP BI on SQL-driven forecasts of transaction volume, revenue, and financial products, improving decision making by 30%. • Implemented distribution of forecasting reports to 240+ stakeholders, reducing manual reporting overhead and improving access to timely financial insights.

• Engineered and customized PeopleSoft HR applications using PeopleCode, C, and SQL, improving application processing efficiency by 24% across payroll operations. • Automated salary and leave management processes for 79K+ employees, streamlining HR and payroll.