// HELLO, WORLD — WELCOME TO MY SPACE

IRENE BUSAH

Data Scientist
BUILDING DATA-INTENSIVE SCALABLE SYSTEMS · MICROSERVICES · ML PIPELINES

I design and build intelligent, scalable systems — from end-to-end ML pipelines and data-intensive microservices to predictive analytics at scale. Passionate about turning raw data into decisions and sharpening algorithms through competitive programming, every day.

VIEW PROJECTS CHALLENGE WALL RESUME ↗
3+
YRS EXPERIENCE
PUBLIC REPOS
PROBLEMS SOLVED
5
CP TOPICS ACTIVE
SCROLL

WHO I AM

I'm a Data Scientist & ML Engineer who builds things end-to-end — bridging the gap between raw data and production-ready applications.

  • Scalable Microservices Architecting loosely coupled, event-driven services that process high-throughput streams securely and reliably.
  • Full-Lifecycle ML Expertise spanning Big Data engineering, deep learning, computer vision, and MLOps deployments.
  • Algorithmic Rigor Active competitive programmer refining optimization skills, and a public speaker on tech & engineering.
// QUICK PROFILE
ROLE Data Scientist & ML Engineer
SPECIALTY Scalable Data Systems · MLOps
ARCHITECTURE Microservices · Event-Driven
CURRENTLY Building AI-powered systems
OPEN TO ML · Data Eng · MLOps Roles
DAILY GRIND Competitive Programming 🏆
EMAIL i.busah123@gmail.com

TECH STACK

🐍
LANGUAGES
Python (Advanced) R (Intermediate) JavaScript Java SQL HTML / CSS
🤖
DATA SCIENCE & ML
Pandas NumPy Scikit-Learn TensorFlow SpaCy NLTK Seaborn Plotnine Power BI Grafana
🔁
MLOPS & ORCHESTRATION
MLflow Apache Airflow Prefect DVC DAGsHub GitHub Actions CI/CD
📦
BIG DATA & ETL
Apache Spark Hadoop MapReduce ETL / ELT Design Data Migration Data Validation Data Cleaning
⚙️
BACKEND & MICROSERVICES
Django FastAPI Flask Spring Boot Node.js REST API Microservices Event-Driven Design
☁️
CLOUD & DEVOPS
AWS (EC2 · S3 · IAM) Docker Linux Git / GitHub PostgreSQL MongoDB MySQL Postman

WHAT I'VE BUILT

→ EXPLORE ALL ON GITHUB

// Pulling live from GitHub. Every repo below is real and public.
// Click any project name or link to explore the code directly.

RESEARCH PROJECTS

● ACTIVE
TB Cough Detection via Deep Learning Audio Analysis
// CMU Africa · Healthcare AI Lab
Developing a non-invasive TB screening system that analyzes cough recordings using CNNs and audio feature extraction (MFCCs, spectrograms) to generate risk scores. Designed for low-resource clinical settings where access to traditional diagnostics is limited.
Deep Learning Audio Analysis CNN Healthcare AI TensorFlow
VIEW REPO ↗
✓ COMPLETED
Burnout Severity Prediction Across Demographics
// Big Data Science · Academic Research
Large-scale study applying predictive modelling and statistical analysis to identify key drivers of occupational burnout severity. Used distributed computing (Spark) to process survey data across multiple demographic cohorts and surface actionable insights.
Predictive Modelling Apache Spark Statistics Big Data Python
VIEW REPO ↗
✓ COMPLETED
Political Donation Patterns: A Big Data Analysis
// Big Data Science · Academic Research
Analyzed millions of political donation records using Hadoop MapReduce to uncover geographic, temporal, and demographic patterns in campaign financing. Produced data-driven findings on donor behavior and PAC influence using large-scale ETL pipelines.
Hadoop MapReduce ETL Pipelines Data Analysis Python Big Data
VIEW REPO ↗

CHALLENGE WALL

// Every problem is a puzzle waiting to be cracked.
// Below are problems I've personally solved — grouped by the patterns I'm actively grinding.
// Click TRY IT on any card to attempt the problem yourself. The attempt count is live — you'll see how many other visitors have taken the challenge.
18+ PROBLEMS LISTED
5 ACTIVE TOPICS
VISITOR ATTEMPTS
DAILY GRIND
// PROBLEMS I'VE CONQUERED — ATTEMPT THEM YOURSELF

THOUGHTS & WRITINGS

// Blog posts are in progress. Subscribe via the contact form to get notified when they drop.
// Also follow on LinkedIn ↗ for shorter weekly updates.

LET'S CONNECT

Whether you want to collaborate on a data project, discuss an opportunity, or just geek out about algorithms and scalable systems — my inbox is open.