Data Scientist | Machine Learning Engineer

I am a Computer Science graduate with hands-on experience in data science and machine learning, developed through a Data Science internship and multiple end-to-end projects.

I work primarily with Python and SQL to prepare, analyze, and model data. My experience includes data cleaning, preprocessing, exploratory data analysis, statistical analysis, feature engineering, and visualization.

I have built supervised and unsupervised machine learning solutions for fraud detection, customer segmentation, and used-car price prediction. I am comfortable selecting, training, comparing, and evaluating regression, classification, and clustering models.

I apply practical machine learning workflows including feature scaling, SMOTE for imbalanced data, cross-validation, hyperparameter tuning, GridSearchCV, and probability-threshold optimization.

I focus on translating analytical results into actionable business insights. I am seeking a Data Science or Machine Learning role where I can contribute strong analytical, modeling, and problem-solving skills.