class DataScientist:
def __init__(self):
self.name = "Muhammed Sinan CP"
self.role = "Data Science · ML · Business Intelligence"
self.based = "India"
self.stack = ["Python", "SQL", "Power BI", "TypeScript", "Kotlin"]
self.focus = ["Predictive Analytics", "ML Modeling", "Data Viz"]
def current_work(self):
return "Building models that forecast churn, delays & market signals"- 🔭 I turn messy, real-world data into predictive models and clean dashboards
- 📊 Comfortable across the pipeline — data → model → insight → visualization
- 🎯 Currently sharpening ML forecasting and BI storytelling with Power BI
- 💬 Ask me about churn prediction, time-series forecasting, or NL-to-SQL tooling
Languages
Machine Learning & Data
BI & Visualization
Databases & Tools
| Project | What it does | Stack |
|---|---|---|
| telco-churn-prediction | ML model that flags customers likely to leave, so retention can act early | Python scikit-learn |
| Flight-Delay-Prediction | Predicts arrival disruptions and quantifies expected delay time | Jupyter Python |
| AskSQL | Natural-language interface that turns plain English into SQL queries | TypeScript |
| PowerBi-Dashboards | Interactive BI dashboards that make business metrics decision-ready | Power BI |
“Without data, you're just another person with an opinion.”