Vikalp Pandey

Lead Decision Scientist @Tesco

Bengaluru, IN

Directing development of supervised & unsupervised models to classify store formats by location, customer behavior, and demographics for precise pricing and assortment planning, improving tactical granularity in demand mapping and local relevance of SKUs.Increasing Clubcard membership targeting cross-category triggers and segment-specific preferences.Implementing ML modeling & analytics to enable targeted up-sell and cross-sell campaigns, driving relevance in outreach and increasing customer-product interaction frequency.Developing ML-based models to optimize inventory at high-waste stores, improving replenishment accuracy while aligning predictions with regional shopping patterns and product perishability profiles.Conducting strategic Deep Dives by analyzing store & category level performance, both in-situ vs market, and generating actionable insights for informed business decision making.Executing in-depth analysis on pricing and promotion strategy for Tesco subsidiary ‘One-Stop Stores’ to support category growth decisions, highlighting transactional KPIs like basket sizes & values and customer switching trends.Building NLP-driven sentiment pipelines from customer feedback to enhance predictive components in forecasting models, while integrating behavioral attributes from text to refine persona-level churn prediction.Presenting strategic insights and advanced analytics solutions to leadership teams across UK & Indian business units, fostering collaborative interpretation and real-world implementation of strategies.Collaborating with forecasting, customer insights, and promotions teams to ensure data scienceoutput aligns with business priorities, avoiding analytical silos and ensuring outcome-based decisioning at all levels.

National Institute of Technology Durgapur

Bachelor of Engineering (BEng)