Mena M.

Specializing in Data Science and Machine Learning, I bridge the gap between theoretical algorithms and practical implementation. With a strong foundation in Computer Science, I excel at Algorithm Design and Data Structures to optimize model performance.

I have hands-on experience in:

Predictive Modeling: Successfully developed end-to-end models such as California Housing Price Prediction (using Random Forest) and Telco Customer Churn analysis.

Data Engineering & Analysis: Expert in data cleaning, feature engineering, and exploratory data analysis (EDA) to find hidden patterns.

Technical Stack: Proficient in Python, NumPy, Pandas, Scikit-Learn, and SQL.

I focus on the "why" behind the code, ensuring that every model I build is logically sound and addresses the real-world problem. Whether you need a predictive pipeline or detailed data insights, I am committed to delivering high-quality, well-documented code that drives results.