- Master in Data Science (cand.), Ateneo de Manila University (2026)
- Bachelor of Science in Applied Mathematics with Specialization in Data Science, Ateneo de Manila University (2025)
- Looking for roles on data analytics, data science, machine learning, artificial intelligence, automation
- CV/Resume
- Mobile/Viber: +639457648719
- Email: stedmicah@gmail.com
- GitHub
- Other Files
| Repository Link | Softwares/Packages/Concepts Used | Description |
|---|---|---|
| order-location-dashboard | Python, pandas, matplotlib, plotly, streamlit, geospatial data, geodataframes, Google Cloud Platform, Supabase | Created an interactive dashboard to track order counts and turnover times across logistics partners and locations |
| product-placement-clustering | Python, machine learning, clustering, sklearn | Applied k-means and hierarchical clustering on clickstream data and recommended product placements |
| dynasties-philippine-politics | Python, Streamlit | Visualized political networks and socioeconomic data across provinces and years using network analysis and PCA |
| Repository Link | Softwares/Packages/Concepts Used | Description |
|---|---|---|
| fruit-cnn | Python, convolutional neural networks, computer vision, tensorflow | Investigated the effects of color transformations on convolutional neural networks to classify fresh and rotten fruits |
| usd-php-arima-garch-forecasting | R, time series, forecasting, ARIMA-GARCH | Modeled USD/PHP exchange rate volatility using ARIMA‑GARCH, supporting risk analysis with short‑term forecasts |
| dengue-sarima-forecasting | R, time series, forecasting, SARIMA | Forecasted dengue incidence in Iloilo using SARIMA, identifying multi‑year outbreak cycles for public health planning |
| inmates-last-words-text-analysis | R, natural language processing, text analysis | Performed thematic analysis and demographic clustering with Latent Dirichlet Allocation on Texas inmates' last words |
| product-placement-clustering | Python, machine learning, clustering, sklearn | Applied k-means and hierarchical clustering on clickstream data and recommended product placements |
| marketing-strategies-simulation | Python, modeling and simulation, agentpy | Developed an agent-based model with AgentPy about effects of brand marketing strategies on consumer behavior |
| political-hhi-geospatial-regression | R, ordinary least squares regression, geospatial regression, economics | Utilized OLS and geospatial regression to predict Philippine political dynastic index based on economic factors |
| CNN-cyberbullying | Python, natural language processing, convolutional neural networks, pytorch | Classified cyberbullying tweets using natural language preprocessing techniques and convolutional neural networks |
| Repository Link | Softwares/Packages/Concepts Used | Description |
|---|---|---|
| facile | Python, streamlit, pandas, folium | Deployed an enrollment assistant to help students access syllabi links, choose electives, and manage schedule conflicts |
| quizmaker | Python, streamlit | [TBA] |
| eskwelabs-eos-automation | Python, streamlit, pandas, matplotlib, Google Slides API, ChatGPT API | Automated report creation from 30+ evaluation questions in 4 minutes |
| eskwelabs-project-staffing-automation | Python, streamlit, pandas | Assigned 400+ facilitators to seminars, based on schedules, skills, and ratings |
| Repository Link | Softwares/Packages/Concepts Used | Description |
|---|---|---|
| food-delivery-database | MongoDB | Queried and analyzed a food delivery company's MongoDB database, and derived insights for future action |
| elections | Django, CRUD | Integrated CRUD operations and ORM queries in Django with SQLite, adding Python visuals for user-driven insights |
| freecodecamp-relational-databases | PostgreSQL | TBA |