Varun V

Spearheaded the 'SODA AI' initiative—building an in-house Advanced Process Control (APC) framework for end-to-end automation in breweries. Designed the architecture to stream real-time data from edge devices on the brewery floor to the cloud, execute pre-built predictive ML models, and actuate physical equipment controls to optimize brewing and packaging output.

Spearheaded global analytics projects within the Supply function as the Lead Data Scientist.

Acted as the primary liaison between six global zones and the central function to drive initiatives around brewing quality, efficiency, AI/ML platform development, and analytical solutions.

Managed a portfolio with approximately $1M USD in CAPEX/OPEX, delivering $2-3M USD in operational benefits.

Designed and engineered an end-to-end, in-house experimentation platform for measuring A/B tests and test-control initiatives—covering everything from physical store layout adjustments to digital product launches. Built the system entirely from the ground up using the Hadoop ecosystem and Dash web framework, orchestrating the deployment across custom VMs and load balancers on their internal cloud infrastructure.

Collaborated across a variety of business challenges, bridging the gap between strategy consulting and internal IP product development.

Developed a Supplier Negotiation Tool for the Retail practice, successfully servicing major clients including Metro China.

Acted as an onsite consultant at AB InBev, embedded directly within their People Analytics team to drive global HR transformation initiatives.

Played a core internal role at TheMathCompany, leading technical hiring panels and training new talent entering the Data Science practice.

Created a predictive churn and retention model for a major insurance client, scaling the solution across the Asia-Pacific region.

Built the foundational R-based platform to enable machine learning-driven decision-making within a global analytics department.

Developed Excel VBA automation tools and QlikView decision boards to optimize business processes for a leading life insurance company, including prototyping tools for their Russian entity.

Participated in presales execution, pitching and handling the discovery phase of projects across the insurance, retail, and government transportation domains.

Executed a forecasting project for a food services company, improving logistics efficiency through highly accurate sales predictions.

Delivered a batch forecasting solution for retail products, analyzing the cannibalization of existing products and deploying the model to a digital back-end platform.

Contributed to a novel project for a major Swiss bank that involved generating synthetic test data for offshore app development.