Data Scientist

Job Description & Achievements

• Developed machine learning models for predictive analytics.
• Performed feature engineering to improve model accuracy by 15%.
• Applied regression, classification, and clustering techniques.
• Implemented data preprocessing pipelines in Python.
• Collaborated with business teams to ensure models aligned with goals.

Skills Learned

• Machine learning (Scikit-learn, Pandas, NumPy)
• Feature engineering
• Model evaluation and optimization
• Data preprocessing pipelines
• Exploratory data analysis