💡 Data Scientist passionate about turning raw data into actionable insights and building intelligent solutions.
🎓 Completed IBM Data Science Professional Certificate.
📊 Skilled in Python, SQL, Machine Learning, Data Visualization, and Predictive Modeling.
🚀 Always exploring new ways to apply data science to solve real-world problems.
- Programming & Tools: Python, SQL, Pandas, NumPy, Scikit-learn, Matplotlib, Plotly, Dash
- Techniques: Data Cleaning, EDA, Data Visualization, Supervised & Unsupervised ML, Feature Engineering
- Other: Business Insights, Statistical Analysis, Predictive Modeling
- Built a supervised ML model to predict customer churn.
- Techniques: Logistic Regression, Random Forest, Feature Engineering.
- Impact: Helped identify at-risk customers with high accuracy.
- Analyzed e-commerce transactions to uncover revenue-driving trends.
- Techniques: Data Cleaning, EDA, Customer Segmentation.
- Impact: Identified seasonal patterns and top-performing products.
- SQL queries + Python analysis to study ride frequency & customer behavior.
- Techniques: SQL Joins, Aggregations, Visualizations.
- Impact: Discovered peak demand hours and operational insights.
- Interactive dashboard analyzing lifestyle impact on student health.
- Tools: Plotly, Dash, Python EDA.
- Impact: Highlighted key factors influencing stress & health.
- Supervised ML system that recommends energy-saving actions.
- Techniques: Regression Models, Feature Engineering, Evaluation.
- Impact: Provided actionable recommendations for reducing energy usage.
- IBM Data Science Professional Certificate
- 💻 GitHub
- 📧 Email: samamashabbir125@gmail.com