Data Scientist | AI, ML, Data Analytics | Python, SQL, Cloud Computing
Data Scientist | AI, ML, Data Analytics | Python, SQL, Cloud Computing
I am a data scientist passionate about leveraging AI, machine learning, and data-driven insights to solve real-world problems. I specialize in Python, SQL, and cloud computing tools to build solutions that drive impact.
A complete data science project analyzing EUR/USD Forex trends, volatility spikes, and technical indicators. It includes outlier detection, Bollinger Bands and Moving Average Crossover strategies, volatility analysis, and backtesting — all implemented in Python. The project culminates in a comprehensive report.
A machine learning project using Random Forest and SMOTE to predict customer churn from a telecom dataset. Includes evaluation, feature importance analysis, and a detailed PDF report.
An interactive Streamlit app where users can upload customer data (CSV) and receive churn predictions using a pre-trained Random Forest model. The app also displays churn probability, feature importance, and customer-level risk segmentation.
Email: felixaidoo77@gmail.com
GitHub: Felix-Aid