HIMANSHU VISHWAKARMA

Transitioned into a client-facing role, collaborating directly with key stakeholders to understand their business needs and deliver data-driven insights that support strategic decision-making. Optimized the hotel reimbursement anomaly detection process, reducing false positives by 25% and improving resolution turnaround time. Partnered with client stakeholders to implement AI-powered query resolution (RAG-based), automating hotel query handling and replacing manual processes, saving 20+ hours monthly and improving response accuracy.

Played a key role in the successful migration process of all legacy datasets to Google Cloud Platform, actively ensuring smooth and efficient transition. Utilized statistical techniques and predictive modeling to monitor trends, detect irregularities, and optimize reimbursement structures, driving greater operational efficiency. Carried out the daily auto-reimbursement process for over 6500 hotels, ensuring accurate calculation and timely processing of reimbursement based on the hotels' Owner reimbursement policies for Reward Nights consumed. Leveraged SQL and Python to automated various manual processes, optimizing workflows, enhancing productivity and cutting monthly man-hours by 8-10 hours. Applied statistical analysis and hypothesis testing to validate policy impacts, identify significant transaction patterns, and recommend data-driven adjustments.

Mentoring college and university students across a wide range of Data Science topics across the globe. Mentored over 600 students with an average quality score of 95%.