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Predictive and Prescriptive Analytics with AI

Hi! I'm Mark, an AI & Data Science Manager and Software Developer based in the Philippines.

About Me

C++
PowerBI
Python
SQL
Next.js
Streamlit
Tech Stack
Languages, frameworks, and BI tools I use to build and analyze.
BS in Applied Mathematics graduation photo

BS in Applied Mathematics

Ateneo de Manila University

Summa Cum Laude · Program Award

3.92/4.00

Master in Data Science graduation photo

Master in Data Science

Ateneo de Manila University

4.00/4.00

Minor in Enterprise Systems graduation photo

Minor in Enterprise Systems

Ateneo de Manila University

Completed

Statistical AnalysisView all courses
Rigorous training in applied mathematics, statistical modeling, and data science.
Algorithms & Data Structures
Sharpening problem-solving skills through competitive programming.
Do you want to start a project together?

My Work Experience

Research and industry leadership in statistical modeling, machine learning, and commercial data infrastructure.

AI & Data Science Manager at Philippine Batteries Inc. (Ramcar)

AI & Data Science Manager

Philippine Batteries Inc. (Ramcar)Aug 2026 – PresentData Scientist: 2024 – 2026

Promoted from Data Scientist to AI & Data Science Manager in August 2026 to lead the North America division's commercial and logistics data infrastructure. Architected machine learning demand-forecasting models, automated end-to-end data pipelines, and built internal full-stack applications (Databricks, Streamlit) to optimize inventory planning and streamline operational decision-making.

Research Intern at Nara Institute of Science and Technology (Japan)

Research Intern

Nara Institute of Science and Technology (Japan)Jan 2024

Conducted macroeconomic nowcasting on GDP using Dynamic Factor Models (DFM) in the Mathematical Informatics Lab, evaluating the impacts of applying advanced regularization techniques (including L1 and L2 regularization) on model accuracy and stability.

Featured Projects

Selected open-source applications, machine learning tools, and systems software.

View all projects
Computer Vision · Client-Side AI

Handpose Studio

An interactive web application for real-time 3D hand pose estimation and gesture tracking. Runs client-side neural network models directly in the browser with hardware acceleration for high-throughput, low-latency inference.

TypeScriptComputer VisionTensorFlow.jsWebGL+1 more
Systems & Programming Languages

kalamanC

A custom programming language and interpreter engineered from scratch in modern C++. Features an end-to-end compilation pipeline including lexical tokenization, recursive-descent parsing, AST construction, and an evaluation runtime.

C++CompilersParsersAST+2 more