Hi, I'm
Victor Angelo Blancada
Learn more by downloading my résumé or connecting on LinkedIn.
Here are some of the things I have done...
- Designed and deployed Mimir, a production Generative AI agent (LLM + RAG + tool calling) that automates global RFP reviews and cuts response times from days to hours across Maersk Contract Logistics worldwide.
- Co-led the Digital Twin & Warehouse AI project at Maersk's 1.2M sq ft Groveport distribution center: incorporating 3D photogrammetry, AnyLogic/FlexSim simulation, AWS QuickSight dashboards, and ML-based wave/task optimization.
- Architected a global facility-level GHG emissions reporting platform across 125+ Maersk Contract Logistics sites worldwide, routing transit data into a central data lake for customer-level emissions visibility.
- Developed the SCA Toolbox, a containerized self-service Python web application providing geocoding, Center of Gravity analysis, and Traveling Salesman optimization directly to country-level design teams.
- Directed the $400MM USD network expansion of a North American telecommunications carrier by running predictive big data customer-lifetime-value simulations and graph optimization models to guide last-mile investments.
- Generated client sales lift of up to 13% by engineering a custom media portfolio optimization algorithm deployed across Asia-Pacific for Fortune 500 brands including Johnson & Johnson and Coca-Cola.
- Developed an automated flu-tracker based on weather and search engine trends to optimize marketing and inventory schedules across Asia-Pacific.
- Successfully predicted the winning candidate in the 2016 Philippine national elections months ahead of traditional polls using custom econometric modeling.
- Improved user interactions in a chatbot app for a multinational insurance company using NLP-driven insights, resulting in a 73% increase in active users.
- Spearheaded the data science and data engineering aspect of an analysis of social media user behavior over the Chinese New Year, published in the South China Morning Post.
- Developed an SKU-level demand prediction system utilizing K-Shape clustering for Nike to optimize seasonal inventory planning.
- Developed the data science platform for a supply chain management company's costing center of excellence, providing merchandisers with insights for vendor negotiation and strategic sourcing.
- Applied operations research techniques to consolidate and optimize the brand-level supply chains of a leading Asian food and beverage conglomerate.
- This site has been named one of the best mathematics blogs on the Internet by Abakcus.com.
Learn more by downloading my résumé or connecting on LinkedIn.
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