Hi , I'm Kwadwo Osei 👋
Data Scientist | Machine Learning Engineer | People Analytics |AI Engineer| MLOps
I build production ready machine learning systems that turn business data into decisions.
My work sits at the intersection of data science, software engineering, and business strategy. I enjoy taking projects from raw data extraction through feature engineering, model development, deployment, monitoring, and visualization.
🚀 What I'm Working On
* Building end to end People Analytics, Strategic Workforce Planning and Skills Intelligence solutions
* Developing survival analysis and machine learning models for workforce attrition prediction
* Designing scalable MLOps pipelines on Azure with MLflow and GitHub Actions
* Building AI powered decision support systems for HR, Supply Chain, Sales and business leaders
* Exploring Decision Intelligence and Generative AI applications for enterprise analytics
💼 Areas of Interest
* Machine Learning Engineering
* Applied Data Science
* MLOps & Model Deployment
* Predictive Analytics
* People Analytics
* Planogram Analytics
* Business Intelligence
* Decision Intelligence
* AI Product Development
🛠️ Tech Stack
Languages
* Python
* SQL
* TypeScript
Data Engineering
* Snowflake
* Polars
* Pandas
* PyArrow
Machine Learning
* Scikit learn
* XGBoost
* Survival Analysis
* SHAP
* MLflow
Cloud & DevOps
* Microsoft Azure
* Azure Machine Learning
* Azure Blob Storage
* GitHub Actions
Visualization
* Power BI
* Streamlit
* Dash
Web Development
* Next.js
* React
* Tailwind CSS
📌 Featured Projects
Strategic Workforce Planning Platform
An AI driven planning platform that helps organizations forecast workforce demand, identify critical roles, evaluate business drivers, and generate workforce action plans.
Enterprise Attrition Prediction Platform
A production ready machine learning pipeline using survival analysis and ensemble models for employee attrition forecasting, complete with automated training, monitoring, fairness evaluation, and deployment.
HR Decision Intelligence
Building intelligent analytics products that help leaders move beyond reporting toward proactive workforce decisions.
🎯 Current Focus
I am focused on becoming a world class Machine Learning Engineer /AI Engineer by combining:
* Robust software engineering
* Production MLOps
* Scalable cloud architecture
* Applied AI
* Business strategy
I believe great machine learning is not about building models. It is about building reliable systems that create measurable business value.
📚 Currently Learning
* Large Language Models
* AI Agents
* Advanced MLOps
* Distributed Machine Learning
* Decision Intelligence Systems
