Machine Learning Engineer | Data Analyst

A Machine Learning Engineer and Data Analyst with experience in building predictive models and analyzing complex datasets to extract actionable insights. This project focuses on analyzing datasets and extracting meaningful insights using machine learning techniques. The workflow includes data preprocessing, feature engineering, model training, and performance evaluation. Multiple algorithms were tested to improve prediction accuracy and optimize performance. The project demonstrates the ability to handle real-world data challenges and build scalable predictive models. Technologies & Tools: Python (Pandas, NumPy) Scikit-learn TensorFlow / PyTorch Data Visualization (Matplotlib, Seaborn) Key Achievements: Improved prediction accuracy through model tuning Extracted actionable insights from data Built an efficient and reusable ML pipeline