I have a B.Sc. in Physics from Fourah Bay College and recently completed the TripleTen Data Science Bootcamp, where I specialized in machine learning, data analytics, and predictive modeling. I’m passionate about solving real-world problems through data-driven insights and bridging the gap between physics, engineering, and AI.
- Experienced in numerical simulations, alternative energy research, and optimization techniques.
- Projects focused on renewable energy feasibility and computational physics modeling.
- Machine Learning & Predictive Analytics – Customer churn prediction, time series forecasting, and business intelligence.
- Data Wrangling & SQL Analysis – Hands-on experience with Python (Pandas, NumPy, Scikit-Learn) and SQL for business insights.
- Data Visualization – Creating interactive dashboards with Power BI & Tableau to communicate findings effectively.
- Programming: Python (Pandas, NumPy, Scikit-Learn), MATLAB, SQL
- Tools: Jupyter Notebook, Power BI, Tableau, Google Colab
- Strengths: Data-driven decision-making, problem-solving, and technical writing
- 📌 Customer Churn Prediction (Telecom) – Machine learning model to predict customer retention.
- 📌 Retail Analytics – SQL and Python analysis on consumer trends.
💼 