Data-driven professional with 6 years and 8 months of IT experience specializing in requirements gathering, customer engagement, and solution delivery. Proficient in Python, SQL, Power BI, and Excel. Strong technical background in data analysis using Python, SQL, Power BI, and Excel. Completed PG Diploma in Business Data Analytics from IIT Patna.
Client: Nordea - Banking and Finance domain
Client: Verizon - Telecommunication domain
"Bank Customer Churn Analysis", IIT Patna, 01/04/24, Analyzed customer churn data to identify key retention factors. Cleaned, transformed and modeled data using Pandas, Visualized trends with Matplotlib and developed predictive models.
Github link: https://github.com/Tharani-sri/data-analysis-project
"Marine Vessel Detection via Satellite Imagery," 2017 – 2018. Detected marine vessels in satellite images using image segmentation techniques, compared FCM and Watershed Segmentation methods for accuracy, published findings in the Journal of the Indian Society of Remote Sensing: https://link.springer.com/article/10.1007/s12524-020-01148-x