Data Scientist
Freelance Self employed
Oct 2024 - Feb 2026 (1 year 5 months)
• Data Science for statistics and analytics
• Data analysis with SQL performing operations across multiple tables, grouping, partitioning, and query creation, use of SQLite in Python
• Data visualization with Power BI including data preparation, modeling, and visualization. Proficient in DAX for custom calculations and insights.
• Supervised Learning: Applied regression analysis, regularized models (Ridge, Lasso), KNN, SVM, decision trees, and logistic regression for predictive modeling.
• Unsupervised Learning: Used clustering techniques including K-Means, PCA, SVD, and Market Basket analysis to uncover patterns in unlabeled data.
• Time Series & Regression Models: Conducted hypothesis testing and implemented AR(p)