Data, business intelligence, and machine learning portfolio focused on building practical projects that turn raw information into insight, dashboards, predictive workflows, and decision-ready solutions.
- SQL analysis for customer behavior, sales, operations, and retention problems
- Python projects for exploratory analysis, automation, and machine learning workflows
- Excel, Tableau, and Power BI dashboards for executive reporting and business storytelling
- End-to-end projects with clean documentation, visuals, model workflows, and recommendations
- Nordex Shift System: manufacturing analytics and machine learning system with FastAPI, Streamlit, MLflow, and DagsHub.
- 10Alytics Sentiment Analysis Project: NLP sentiment analysis application for e-commerce reviews.
- Customer Shopping Behavior Analysis: SQL, Python, and Power BI workflow for customer purchase insights.
- IBM Data Science Capstone: classification workflow for SpaceX Falcon 9 landing prediction.
- Heart Failure Clinical Records ML: healthcare machine learning analysis for patient outcome prediction.
SQL | Python | pandas | NumPy | scikit-learn | Jupyter Notebook | Excel | Tableau | Power BI | FastAPI | Streamlit | MLflow
My GitHub is organized to show practical problem solving across analytics, dashboards, machine learning, and data applications: clear problem statements, clean project structure, documented workflows, visual outputs, and business-focused recommendations.