github ↗cv ↗live ↗
About This Engineer

Massa Coulibaly

→Full-stack engineer. I build software that works in places where most tools don't reach.

Ex Co-founder & CTO of Afya — USSD-based EMR for Sub-Saharan Africa. UC Berkeley MIMS. Path toward Forward Deployed Engineering.

School:UC Berkeley MIMS
Prev:CTO @ Afya
Focus:Health IT · FDE
Seeking:FDE · Full-Stack
githublinkedinberkeleythis site ↗

Projects in Data Science, AI & Web Systems below ↓
This is a page that represent a little bit about me and projects I have worked on. The background symbols are Adinkra — hover them.
Kente (a Ghanaian traditional cloth pattern) is in the background too. Find out more ↗

Web Dev & Systems

// INFRA
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mibegnon-project

github ↗live ↗

Full-stack scholarship platform with authentication, user dashboard, and automated scholarship scraping — built with Next.js, TypeScript, and Prisma.

stack

Next.jsTypeScriptPrismaPythonJupyter

highlights

  • →Built role-based auth with protected dashboard and public-facing routes
  • →Automated scholarship discovery via a Python scraper feeding into a Prisma-backed database
  • →Designed schema to track scholarship deadlines, eligibility, and user applications
[ ]
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Joke Generator

github ↗

A front-end React app that fetches random jokes from an external API and displays them in a fun, responsive interface.

stack

ReactCSSJoke API

highlights

  • →Integrated an external Joke API with live fetching on button click
  • →Built with modular, reusable React components
  • →Fully responsive layout that adapts across device sizes
[ ]
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HIMS — Friends Eye Center

github ↗

Built a Healthcare Information Management System for a clinic in Ghana on top of OpenEMR. Includes a data migration pipeline using Python and Pandas to move legacy Excel records into the new system.

stack

PythonPandasSQLOpenEMRGhana 🇬🇭

highlights

  • →Wrote SQL migration scripts via Pandas to transfer clinic data from Excel sheets into the new OpenEMR-based system
  • →Clinic proposal and initial analysis included in the repo — shared with permission from Friends Eye Center
  • →Replaced entirely paper-based workflows across three sites: patient records, billing, and appointments
  • →System still in use 2+ years later; trained KNUST and Technical University of Tamale students to maintain it post-handoff
[ ]

Data Science & AI

// ML/AI
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Billboard Hit Prediction Tool

github ↗

Built and evaluated four ML models on 3,000+ songs using Spotify, Billboard and YouTube APIs, achieving over 80% accuracy predicting chart success.

stack

PythonScikit-learnSpotify APIBillboard APIYouTube APIPandas

highlights

  • →Compared Logistic Regression, Random Forest, XGBoost, and SVM — XGBoost topped 80% accuracy
  • →Handled severe class imbalance between charting and non-charting songs via SMOTE
  • →Engineered audio features (danceability, valence, tempo) into model-ready inputs across 3 APIs
[ ]
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ETF Stock Analysis

github ↗

Constructed time series models to demonstrate the impact of US Unemployment Rate announcements on QQQ, IWM, and SPY ETF prices.

stack

PythonstatsmodelsARIMAGARCHPandasMatplotlib

highlights

  • →Modeled volatility clustering around macro announcements using GARCH
  • →Ran event-study analysis isolating pre/post announcement price reactions
  • →Aligned non-synchronous financial time series from multiple data sources
[ ]
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UN Speeches Analysis

github ↗

Natural language processing analysis of United Nations speeches, extracting patterns, themes and insights from global diplomatic discourse.

stack

PythonspaCyNLTKLDAGensimMatplotlib

highlights

  • →Applied LDA topic modeling across decades of multilingual UN speech data
  • →Tracked how geopolitical themes shifted over time by country and region
  • →Cleaned and normalized noisy OCR-extracted text from scanned UN documents
[ ]
massa@portfolio:~$ whoami
> Massa Coulibaly, Full-Stack Engineer
> Ex CTO @ Afya · UC Berkeley MIMS '26
> Contact: massacoulibaly@berkeley.edu
> █