Results-driven Data Scientist with expertise in statistical analysis, machine learning, and data engineering. Proficient in Python, SQL, and cloud platforms like AWS and Databricks. Experienced in developing and deploying predictive models to drive business decisions. Strong problem-solving skills, with a focus on improving model accuracy and operational efficiency. Adept at collaborating with cross-functional teams to deliver data-driven solutions that enhance business performance.
Programming Languages: Python, JavaScript
Databases: SQL, MySQL, MongoDB, Firebase
Machine Learning: Tree-Based Models (Random Forest, XG Boost), Model Training & Evaluation
Data Analysis & Processing: Exploratory Data Analysis (EDA), Feature Engineering, Outlier Handling, Categorical Encoding
Statistical Analysis: Hypothesis Testing (Z-Test, T-Test, ANOVA, Chi-Square Test)
Natural Language Processing: Large Language Models, Retrieval Augmented Generation, Fine-Tuning, LLM Training