About
Highly accomplished Strategic Analytics professional leveraging expertise in operations research, machine learning, and business strategy to drive data-driven decision-making. Proven ability to translate complex business challenges into actionable insights, consistently optimizing operations, enhancing product strategy, and delivering significant cost savings and efficiency gains across diverse industries. Adept at developing and deploying advanced analytical models to solve critical business problems and improve key performance indicators.
Work
Bristol Myers Squibb
|Data Analyst II
Hyderabad, Telangana, India
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Summary
As Data Analyst II, lead strategic analytics initiatives for clinical trial optimization and develop AI/ML models, significantly reducing timelines and marketing overhead while generating substantial cost savings.
Highlights
Spearhead strategic analytics for clinical trial site selection, reducing timelines from 4 months to under 1 month by analyzing competitive landscapes and enrollment dynamics, leveraging classical statistics (Chi-square, Logistic Regression) and GenAI embedding models to enhance decision quality.
Contribute to the development of an LLM-powered clinical document authoring tool, automating regulatory writing and generating ~$200K in annual savings for the project area, with an enterprise-wide impact of ~$3M.
Develop and deploy an XGBoost-based recommendation model for a specialty pharma product, achieving 79% precision and 37% recall, which reduced marketing overhead by ~18% through improved targeting efficiency.
Air India
|Associate Manager – Analytics & Operations Research
Gurgaon, Haryana, India
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Summary
As Associate Manager, leveraged analytics and operations research to optimize crew operations, enhancing scheduling efficiency and reducing operational downtime by 23%.
Highlights
Analyzed crew operations performance, generating strategic insights and executive dashboards that informed optimal scheduling and resource allocation decisions for leadership.
Designed and deployed a MIP-based Operations Research model, reducing unassigned standby crew by 23% and significantly improving manpower utilization and minimizing operational downtime.
Delhivery
|Senior Analyst
Bangalore, Karnataka, India
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Summary
As Senior Analyst, developed advanced forecasting and optimization models for last-mile delivery, resulting in significant cost savings, improved service quality, and enhanced operational efficiency.
Highlights
Developed a robust and accurate Bayesian forecasting model to predict incoming load across PAN India facilities, achieving a MAPE score of less than 20 and improving operational planning.
Optimized vendor contract negotiations using mathematical modeling to develop a pricing model, resulting in ~8% cost reduction and enhanced service quality across facility centers.
Rebuilt the last-mile delivery application using Uber H3 hexagons and clustering algorithms, replacing a third-party solver, saving $60K annually, and significantly improving delivery reliability.
Devised a Python-based vehicle recommendation system using the vrpy library, prescribing optimal vehicle types for various centers and enhancing pickup and delivery efficiency.
Delhivery
|Analyst
Bangalore, Karnataka, India
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Summary
As Analyst, optimized service center networks and developed predictive models for peak load and anomaly detection, leading to improved efficiency, customer satisfaction, and reduced fuel payouts.
Highlights
Optimized and redesigned the service center network using mixed integer programming and open-source solvers, improving efficiency and customer satisfaction, and facilitating the successful merger of Delhivery and SpotOn networks.
Developed a peak load forecasting model using analytical methods and heuristics for high-demand periods, enabling more effective operations planning and resource allocation where traditional ML techniques were insufficient.
Constructed an anomaly detection model for distance reporting using the travelling salesman problem and regression analysis, leading to a significant ~4% reduction in fuel payouts.
Education
Jadavpur University
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Master of Engineering
Production Engineering (Operations Research)
Grade: 8.33/10
Institute of Engineering and Management
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Bachelor of Technology
Mechanical Engineering
Grade: 8.37/10
Skills
Data Tools & Platforms
Streamlit, Databricks, Snowflake, Power BI, Tableau.
Programming Languages
Python, R, SQL.
Analytical Techniques
Operations Research, Mathematical Optimization, MIP, Heuristics, Forecasting, Classical Statistics, Causal Inference, Machine Learning, A/B Testing, GenAI for Analytics.