Experience

STMicroelectronics

Data Analytics Intern

STMicroelectronics

May 2026 – Jul 2026

  • Developed a full-stack internal web portal using Flask and SQLite to centralize product reference documentation for the Ops 2/3 department, replacing a scattered multi-file system with a single authenticated platform
  • Built automated Power BI dashboards tracking daily, weekly, monthly, and quarterly Yield and PPM metrics across multiple production departments (Finishing and Test), integrating data from multiple source folders spanning 2024–2026
  • Collaborated with process engineers and department supervisors to gather production data, define system requirements, and iteratively deliver features including CRUD functionality, admin access control, and multi-year historical trend analysis
MMCL

BS Computer Science

Data Science & Analytics

Mapua Malayan Colleges Laguna

2022 – 2026

Professional Certifications

IBM AI Developer certificate

IBM AI Developer

IBM · Jul 2026

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Google Data Analytics certificate

Google Data Analytics

Google · Jun 2026

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Python for Data Science, AI & Development certificate

Python for Data Science, AI & Dev

IBM · May 2026

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Google Cloud Computing Foundations certificate

Google Cloud Computing Foundations

Google · May 2024

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Featured Projects

MakiPrint

MakiPrint

Ink-classification Data Annotation tool paired with a full-stack printing management platform.

  • Built an Annotation tool to label 1,780 document images by ink intensity for training data
  • Trained a machine learning model to classify ink usage with over 95% accuracy
  • Built a full-stack platform for cost estimation, payments, and order management
WHO Global Disease Outbreak Pipeline architecture diagram

WHO Global Disease Outbreak Pipeline

End-to-end AWS data pipeline for WHO global disease outbreak data with automated scheduling and monitoring.

  • Built PySpark ETL pipeline in AWS Glue processing 3,500+ disease outbreak records across 90+ diseases and 236 countries
  • Designed Redshift data warehouse with optimized schema and views for Power BI analytics reporting
  • Implemented automated weekly scheduling with CloudWatch monitoring for pipeline failure alerts
Airbnb NYC Analytics Dashboard

Airbnb NYC Analytics Dashboard

Interactive analytics dashboard analyzing 41,697 NYC Airbnb listings using Snowflake and Power BI.

  • Loaded 41,697 NYC Airbnb listings into Snowflake cloud data warehouse
  • Created multi-page dashboard with 8+ visualizations tracking market metrics by neighborhood and room type
  • Implemented interactive filters for neighborhood, room type, and price category to support drill-down analysis
Stock Price Analytics Pipeline

Stock Price Analytics Pipeline

Analytics pipeline transforming raw stock market data into optimized dimensional models using the medallion architecture.

  • Built Bronze → Silver → Gold transformations using Delta Live Tables
  • Implemented fact and dimension tables for analytics optimization
  • Loaded curated data into Snowflake for BI reporting

Skills

Python
SQL
PySpark
Databricks Databricks
AWS
Snowflake Snowflake
Git
Power BI Power BI

Data Analytics Intern

STMicroelectronics

May 2026 – Jul 2026 Ops 2/3, B2F2 Manufacturing Operations and Process Engineering 480 hours

STMicroelectronics is a European multinational semiconductor company and, by revenue, the largest semiconductor manufacturer in Europe. I completed my internship at their Calamba, Laguna facility, one of the company's key back-end manufacturing sites in the Asia-Pacific region.

TNF Reference Portal

  • Built an internal web portal using Flask and SQLite to replace a scattered, file-based system for product documentation
  • Consolidated product overview, process flow, materials, documentation, and deployment details into a single searchable platform
  • Implemented full CRUD functionality, employee-based authentication, and an admin panel for department-wide access control
  • Designed the system for handover, allowing the department to maintain it independently after the internship
Python Flask SQLite

PPM and Yield Dashboards

  • Automated a manual, weekend-long PPM and yield reporting process by building four Power BI dashboards (PPM and Yield, for both Finishing and Test)
  • Added slicers for year, lot type, product, and step name, along with KPI cards and trend charts on each dashboard
  • Integrated over two years of historical production data by linking current daily records with archived weekly and monthly folders
  • Debugged a data mismatch against engineers' reports by manually validating formulas, tracing the issue to step name filtering
Power BI Data Modeling
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