Associate Data Scientist with 4.5 years of experience at Cognizant, transitioning from claims testing into data science. Strong foundation in Python, SQL, machine learning, and data analysis with hands-on experience in building and deploying ML models. Experienced in working with large datasets, performing data validation, exploratory data analysis, and translating business requirements into analytical solutions.
Data analysis with Python and SQL
Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn
Machine Learning: Regression, Classification, Clustering, Model Evaluation
Data Analysis: Exploratory Data Analysis, Feature Engineering, Data Cleaning
Databases: MySQL, PostgreSQL
Tools: Git, Jupyter Notebook, VS Code
Deployment: Flask, Stream lit (basic)
Reporting and analysis
Quality assurance
Jira issue tracking
Product tests