Aspiring Data Analyst / Machine Learning Engineer passionate about building end-to-end data solutions — from raw data processing to deployment. I specialize in analytics dashboards, predictive modelling, SQL data pipelines, and MLOps deployments.
- Data analytics & business insights using Python, Pandas, NumPy
- Machine learning for prediction & classification problems
- Interactive dashboards using Streamlit / Power BI
- SQL-based data processing & ETL pipelines
- Deploying ML apps using Streamlit Cloud / Render / Azure
Live ML dashboard to analyze telecom churn and predict customer exit probability.
🔗 Live App: https://telco-customer-churn-analytics-and-prediction-no2yxxrc4mnzgyun.streamlit.app/
📌 GitHub Repo: https://github.com/ayushmandas29/Telco-Customer-Churn-Analytics-and-Prediction
| Category | Tools |
|---|---|
| Programming | Python, SQL |
| ML / Data | Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn |
| Visualization | Streamlit, Power BI, Plotly |
| Databases | PostgreSQL, MySQL |
| Deployment | Streamlit Cloud, GitHub, Azure (learning) |
| Other | Git, Jupyter Notebook |
- Building a multi-project portfolio in Data Analytics + ML
- Improving deployment & CI/CD skills
- Preparing for entry-level data/AI roles
- Email: ayushmandas736@gmail.com
- GitHub: https://github.com/ayushmandas29
Open to collaborations on ML, analytics, and dashboarding projects.