Alisha S

Loblaws Inventory Analysis Designed and implemented a weighted risk-scoring model at the store × SKU level—incorporating upcoming promotions—to proactively flag on-shelf availability and Destroy/Donate/Firesale risks. By ranking stores by risk, we enabled targeted, data-driven interventions that reduced stockouts and minimized waste. I led the end-to-end solution design and drove the analytics powering the interactive dashboard. Walmart Forecast Accuracy Analysis Built an automated ETL pipeline and interactive dashboard that benchmarked Walmart’s 2-week and 4-week forecasts against GMI forecasts across multiple aggregation hierarchies. This analysis surfaced critical forecast gaps, empowering stakeholders to prioritize corrective actions and optimize inventory planning decisions.

China Demand Forecasting Designed and implemented a demand forecasting system from scratch for the China market, improving forecast accuracy by 17% and reducing bias by 15% through advanced statistical modeling and data cleansing. Collaborated closely with demand planners and business teams to understand local market drivers, ensuring the models were both robust and business aligned. This project was recognized with the Supply Chain Titans Award for its measurable impact on forecast reliability and strategic decision-making. Project Cannibalization Led the development of a tool to identify and quantify cannibalization from new SKU launches, resulting in a 5% improvement in forecast accuracy and reduced inventory waste. Translated ambiguous requirements into a clear, actionable project charter. This project deepened my experience in team leadership, stakeholder management, and mentoring, while honing my ability to solve open-ended problems through a mix of analytical rigor and creative thinking. Recognized with the Innovation Maverik Award for driving impact through innovation and continuous learning.

Support Demand planning function for Pillsbury (NAR Region) by providing innovative demand forecasting solutions. Effectively review and deploy forecasting results to stakeholders using predictive, prescriptive analytics and data visualization which would aid in better decision-making in supply chain. Optimize/Standardize the demand forecasting processes which will bring improvement to overall forecasting approach resulting in better accuracy.

• DPIC (Demand Planning Intelligence Consortium) - I prepared and delivered DPIC (Demand Planning Intelligence Consortium) Benchmark reports to the largest FMCG customers in Europe and North America. The main projects I’ve been a part of include the forecast benchmarking of various clients to show their respective positions in the market which helps them to focus their resources on areas requiring improvement. • SFaaS (Statistical Forecasting as a Service)-I assisted in the research and development of the SFaaS tool which helps the demand planning teams to improve their inventory planning strategies. SFaaS provides statistical forecasts to clients using an innovative blend of Alteryx, R, Tableau and Power BI. This helps them implement better forecast decisions.

Annual Report Attribute Extraction I got the opportunity to attain an internship at the Robotics Department in Tata Consultancy Services (TCS) Kochi for 2 months. This gave me a platform to apply the skills I had acquired and hands-on experience by working in their live projects of “Annual Report Attribute Extraction” under the supervision of Mr. Rajaram Moorthy (Project Head, Robotics Department, TCS).