2022-2023

Graduate Assistant

As a graduate assistant, I assist professor with course preparation, grading assignments, leading discussions, and occasionally teaching classes under supervision. This involves aiding in lesson planning, organizing materials, and providing constructive feedback to students. Additionally, I facilitate interactive classroom discussions to foster student engagement and critical thinking. Overall, my contributions aim to enhance the educational experience and support the academic objectives of the institution.

2019-2022

Data Analyst at Cognizant

As a Data Analyst, I implemented machine learning algorithms with Python and scikit-learn to predict customer churn, developed automated data dashboards using Tableau, Power BI, and Excel, and collaborated across departments to ensure data accuracy and conduct A/B testing for enhanced efficiency. Utilizing Tableau, I facilitated executive decision-making and minimized errors through comprehensive data profiling with Pandas and NumPy. Additionally, I engineered Matplotlib and Seaborn dashboards to improve claims processing efficiency, utilized PySpark for large-scale data processing in ETL processes, and optimized workflows with Microsoft Power BI and R for data analysis and visualization. Leveraging AWS cloud services, I supported scalable data management and analytical capabilities.