Anup Rajbongshi

Architected an AI-Powered Conversation Intelligence System using ASR Whisper Model, PyAnnote, and Claude Haiku, applying NLP and NLG for sentiment analysis and entity extraction to dissect sales calls. Transformed a dynamic pricing algorithm into a real-time, adaptive model, boosting occupancy and revenue by 23% and enhanced content curation using Gen AI models like Mistral Mixtral-8x7B and Google

Developed an automated movie scheduling Web Tool using Python, LightGBM, and IBM CPLEX with a Mixed-Integer Programming model to optimize GRP, increasing scheduling adherence from 45% to 69%. Created an automated financial dashboard integrating BARC and Broadview data with ETL processes, enabling real-time monitoring of performance and revenue KPIs for JioHotstar and competitors.

Developed a Dynamic Portfolio Optimizer with a propensity model, improving targeting effectiveness by 30% while consulting on product and service strategies. Automated workflows with SQL, Spark, and Python, reducing turnaround time by 50% and applying Random Forest, XGBoost, and LightGBM techniques to achieve 0.79 AUC-ROC.

Integrated Managerial Information Systems (MIS) and digital strategies to enhance assembly line performance, enabling effective monitoring, tracking, and reducing rework. Developed interactive Power BI dashboards to monitor, track, and analyze production KPIs, improving process efficiency and stakeholder visibility.

Completed a Post Graduate Diploma in Business Analytics, a joint program from IIM Calcutta, IIT Kharagpur, and ISI Kolkata. The curriculum focused on advanced data analysis, machine learning, and business intelligence techniques.

Obtained a Bachelor of Technology in Electrical Engineering. The program provided comprehensive knowledge in electrical systems, power generation, and circuit design.