Parth Borkar

Master's

Data Science

Information Technology (IT)

Infibeam Avenues Ltd

Data Scientist

● Combined RFM segmentation with survival analysis to predict Customer Lifetime Value score resulting in over 15% increase in customer retention rates. ● Created an Isolation Forest-based anomaly detection system to identify potentially fraudulent transactions, enhancing fraud detection accuracy by 10% and minimizing financial risks. ● Built a simple exponential smoothing forecasting model to accurately predict future revenues, enabling the business heads to make informed resource allocation and budgeting decisions. ● Utilized SQL, Pandas and NumPy to extract, manipulate and clean the data by removing the outliers, duplications, and inconsistencies. ● Developed Tableau dashboards to track KPIs and data-driven decision-making, automating 15 hours of reporting work weekly. ● Designed ETL pipelines using SSIS for HR, accounting, and transaction data, resulting in streamlined data movement and improved system performance by over 70%. ● Developed a robust data warehouse in SQL Server, leveraging data from CSV, Excel sheets, and Oracle Server, ensuring clean and accurate data for analytical models. ● Utilized SQL, Pandas and NumPy to extract, manipulate and clean the data by removing the outliers, duplications, and inconsistencies. ● Constructed integrations in Python to automate scraping, cleaning, and migration of IFSC codes, saving over 5 hours of manual work every week. ● Employed a Django-based monitoring solution to track key metrics of production servers (CPU Utilization, Memory, Hits/sec, Response time) in real time.