Business Intelligence & Analytics
Turn Data Into Decisions
Build executive and operational analytics that transform fragmented business data into clear KPIs, trends, forecasts, and actionable insights.
- Power BI
- DAX
- SQL
- Data Modeling
Data Science • Analytics • Automation
I build data systems that turn complexity into business decisions.
From analytics dashboards to automated pipelines and decision tools, I help businesses move from slow, manual processes to faster, scalable systems.
Working with
- Python
- SQL
- Power BI
- AWS
- Data Engineering
- Machine Learning
Impact
I measure projects by what changed after they were built.
- Seconds
- 3–7 days
- Sales calculation turnaround
- 5–7 min
- 3–5 days
- Customer simulation processing
- 1–3 min
- 1 day
- Customer analysis
Capabilities
What I can do for your business.
Better decisions start with better systems.
Automation & Data Applications
Eliminate Manual Processes
Replace repetitive spreadsheets, calculations, and manual workflows with automated solutions and purpose-built applications.
- Python
- Flask
- APIs
- Automation
Data Engineering
Build Reliable Data Foundations
Design automated pipelines that move operational data into reliable, analytics-ready systems.
- Python
- SQL
- Airflow
- AWS
- Redshift
- Docker
Data Science & Forecasting
Predict What Comes Next
Develop analytical and predictive solutions that help organizations understand performance and plan what comes next.
- Machine Learning
- XGBoost
- Prophet
- Time Series
Selected work
Solutions built around real business problems.
01Automation
Sales Optimization Platform
From multi-day calculations to results in seconds.
3–7 days
Seconds
Sales calculation turnaround
- Problem
- Sales calculations depended on manual computational workflows, creating long turnaround times and workflow backlogs.
- Solution
- Built a Python and Flask application that allowed sales users to enter required information and receive calculation results on demand. Containerized the application with Docker and deployed it using AWS infrastructure.
- Python
- Flask
- Docker
- AWS EC2
- Sales user enters required information
- Flask API runs the Python calculation logic
- Docker container on AWS EC2
- Calculation result returned on demand
02Data Science
RAROC Simulation Engine
Turning multi-day simulations into a minutes-long workflow.
3–5 days
5–7 min
Simulation processing time
- Problem
- Customer Monte Carlo simulations performed through Excel required approximately 3–5 days per customer simulation.
- Solution
- Helped transform the simulation process from Excel into a Python-based computational workflow.
- Python
- Monte Carlo Simulation
- Automation
- Customer simulation request
- Monte Carlo simulation logic (Python)
- Automated processing
- Simulation results in minutes
03Data Engineering
Enterprise Analytics Pipeline
Building an automated foundation from source data to business intelligence.
- Overview
- Built an automated data engineering workflow for analytics, using Python and Apache Airflow for orchestration, Docker for containerization, AWS S3 and Redshift for storage and analytics, and Power BI for downstream reporting.
- Python
- Apache Airflow
- Docker
- AWS
- Redshift
- Power BI
- Google Sheets
- Python / Airflow
- AWS S3
- Amazon Redshift
- Power BI
How I Solve Problems
From business problem to production solution.
Understand
Identify the decision, bottleneck, or business process that needs improvement.
Engineer
Build the data foundation required to solve the problem reliably.
Analyze
Find the metrics, patterns, forecasts, and signals that actually matter.
Deliver
Turn the analysis into dashboards, applications, models, or automated workflows people can use.
Measure
Determine whether the solution improved speed, accuracy, efficiency, or decision-making.
About
Engineering mindset.Data-driven execution.
I started my career solving physical engineering problems. Today, I solve business problems with data.
My background in engineering and project leadership shaped how I approach analytics: understand the system, identify the constraint, build the right solution, and measure whether it actually improved the outcome.
Today, I apply that mindset across data science, business intelligence, automation and data engineering—building solutions designed not simply to produce reports, but to help people make better decisions and work more efficiently.
Previous engineering & project leadership
10-person team
₱5M+ water treatment projects
15 contractor teams
₱200M+ industrial project responsibility
25-person team
₱20M+ project responsibility
Experience
Where I've applied it
June 2023 – Present
Vivant Corporation
Data Scientist
- Data Science
- Business Intelligence
- Automation
- Data Engineering
January 2025 – July 2026
EFL Global
Business Intelligence Analyst
- Business Intelligence
- Analytics
- Reporting
February 2023 – June 2023
Upwork
Data Analyst
August 2022 – February 2023
Refocus Digital Academy
Data Analyst
2018 – 2023
Earlier Career
Engineering & Project Leadership
- Industrial Projects
- Engineering Management
- Project Delivery
- Team Leadership
Have a data problem that's taking too much time?
Whether it's a manual reporting process, disconnected data, an analytics bottleneck, or a decision that needs better information, I build systems designed to turn that complexity into something useful.
Let's build something that creates measurable impact.