Entry-level Data Science & Analytics professional with a strong foundation in Python, SQL, statistics, and machine learning fundamentals.
Experienced in building end-to-end data projects — from data cleaning and analysis to visualization and model deployment.
Hands-on experience with real-world datasets, business dashboards, and ML models.
Actively seeking Data Analyst / Data Science fresher roles where I can apply analytical thinking and grow as a data professional.
📍 Mumbai, India
- Built a Linear Regression model to predict house prices
- Performed EDA, feature engineering, and data preprocessing
- Evaluated model performance using MAE, MSE, RMSE, and R²
- Deployed the model using Streamlit for live predictions
🔗 Live App: https://house-price-app-cmttybkjpeafe4b8e2qxog.streamlit.app/
- Designed dashboards using Excel, Power BI, and Tableau
- Analyzed sales trends, KPIs, and performance metrics
- Converted raw data into actionable business insights
- Conducted data analysis using Pandas & NumPy
- Performed data cleaning, aggregation, and visualization
- Visualized patterns using Matplotlib
| Category | Skills |
|---|---|
| Programming | Python |
| Databases | MySQL, PostgreSQL |
| Data Analysis | Pandas, NumPy |
| Visualization | Matplotlib, Excel, Power BI, Tableau |
| Machine Learning | Linear Regression, ML Fundamentals |
| Core Concepts | Statistics, Probability, Linear Algebra |
| Tools | Jupyter Notebook, Streamlit |
⭐ Focused on learning, building, and delivering value through data.