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About Me
I am a data science and machine learning expert with a strong background in strategy consulting. I specialize in providing best possible solutions to business decision-makers using big data analytics. My technical experience across the entire data and analytics pipeline – from data engineering to machine learning to results presentation to stakeholders – covers a wide range of industries from telecommunications to marketing and advertising to supply chain management.
In my present capacity working for a global logistics and supply chain company, I am responsible for optimizing global operations by developing data-driven solutions and introducing self-service machine learning-based tools and processes that help promote the company’s competitive advantage and drive strategic business growth.
As Analytics Technology Manager for a leading media conglomerate, I pioneered its global predictive modeling hub and was responsible for optimizing the media portfolios of global brands, i.e., helping clients effectively meet sales targets with customized media portfolio optimization solutions.
An experienced strategy consultant for Fortune 500 companies, I have worked with C-level clients across a variety of industries to formulate innovative data-driven solutions for their businesses, leading high-performance teams that deliver their advanced analytics requirements.
Work Experience
Maersk Contract Logistics
A.P. Moller - Maersk is an integrated logistics company, committed to connecting and simplifying global trade for a growing world.
Divisional Manager, Supply Chain Analytics (2024-Present)
- Lead the Supply Chain Analytics function for Maersk Contract Logistics in the Global Solution Engineering team.
- Responsible for defining and executing the data science and analytics strategy for Maersk Contract Logistics, including but not limited to optimizing supply chain networks, measuring sustainability, improving transport, and deploying new data-driven tools such as labor management systems.
Senior Manager, Supply Chain Analytics (2022-2024)
- Streamlined the machine learning application development and deployment process from two months to two weeks by implementing MLOps best practices and automating workflows.
- Developed self-service supply chain optimization software including applications for Supply Chain Network Design (SCND), Center of Gravity (CoG) facility location analysis, and Traveling Salesman Problem (TSP) transport optimization.
- Built regional control tower dashboard systems to improve real-time visibility and control over logistics operations for managers and process owners both within Maersk and from the client.
LF Logistics
As the leading supply chain solutions partner for brands and retailers, Li & Fung is committed to building the supply chain of the future.
Senior Data Science Manager, Global Supply Chain Analytics (2019-2022)
- Responsible for improving the efficiency of Li & Fung’s global supply chain by deploying self-service data science tools.
- Developed an industry-first data science platform for Li & Fung’s strategic sourcing costing centre of excellence to provide merchandisers with insights for vendor negotiation.
- Automated address cleansing by developing a deep learning seq2seq model that extracts standardized address components from unstructured customer address inputs.
- Improved labor and space requirements planning by creating an SKU-level inventory prediction system for seasonal SKUs. The system uses K-Shape clustering to combine SKUs based on the shapes of their inventory curves before fitting regression models for each cluster.
Publicis Worldwide
Publicis Worldwide helps clients lead industry change by combining IT and data analytics with strategic creativity to produce innovative marketing solutions. It is part of the Publicis Groupe, the oldest and one of the largest marketing and communications companies in the world, by revenue.
Lead Analyst, Hong Kong and Greater China (2017-2019)
- Managed the data team to partner with clients, collect requirements, define strategy, and deliver robust analytics solutions.
- Created a bag-of-words sentiment scoring model for mixed English and Cantonese text that was used across different social listening and customer feedback analysis projects.
- Improved user engagement for a client’s chatbot by applying latent Dirichlet allocation on chat logs to identify topics of interest for users.
IPG Mediabrands
IPG Mediabrands is the global media and data management arm of Interpublic Group. An industry-leader in terms of analytics, it manages USD 39 billion of marketing investments on behalf of clients worldwide.
APAC Analytics Technology Manager (2015-2017)
- Built and managed the APAC predictive modeling hub in Manila that supported the analytics needs of markets across IPG Mediabrands’ APAC and global footprint.
- Developed an intelligent marketing spend optimization platform that resulted in 13% sales lift for clients. The platform uses COByLA (constrained optimization by linear approximation) to automatically determine the optimal media schedule across channels and days.
- Used Markov Chain Monte Carlo models to measure the effectiveness of advertising spending on client KPIs. Successfully predicted the results of the 2016 Philippine election using a Markov Chain Monte Carlo model created for a client political party.
Mitchell Madison Group
Mitchell Madison Group is a management consulting firm that delivers measurable enterprise value to Fortune 500 companies through business analytics, performance improvement and strategic services.
Business Analyst (2014-2015)
- Assigned to work on-site on management consulting and analytics projects at client offices in North America.
- Directed the $400MM USD fiber network expansion project of a Fortune 500 telecommunications company by running a large-scale network optimization algorithm to determine the network layout that will maximize the expected revenue based on predicted lifetime value of potential customers.
- Generated $9MM in cost-savings for a US manufacturing company through on-site strategic sourcing and vendor contract renegotiation.
Educational Experience
University of the Philippines-Diliman
Bachelor of Science in Industrial Engineering (2009-2014)
- Graduated summa cum laude, with a grade point average of 1.11, the third highest in the university graduating class of more than 4,000 graduates (US GPA equivalent is 3.95, certified by World Education Services)
- Oblation Scholarship awardee, placing within the top fifty scorers out of 62,111 test takers in the University of the Philippines College Admissions Test
- National Champion, Operations Research Quiz Competition 2013 and 2014 sponsored by the Operations Research Society of the Philippines
- National Champion, Industrial Engineering Quiz Competition 2013 sponsored by the Philippine Institute of Industrial Engineers
- National Finalist, 2013 Big Data Innovation Programming Contest sponsored by Trend Micro
Additional Honors and Awards
- 98th percentile ranking on the global Bloomberg Aptitude Test
- National Finalist, Indie Eng’g Engineering Competition 2012 sponsored by Tanging Yaman Foundation
- Awardee, Ten Outstanding Students of Makati City for 2009
- Published Author, contributing writer to Data-Driven Investor publication on Medium
- Two-time featured generative AI developer in National Novel Generation Month 2021 and 2022
Visit my LinkedIn page here.