Passionate Data Science enthusiast with expertise in machine learning, deep learning, and data analysis. Proficient in Python, SQL, cloud platforms, and various data analysis tools. Committed to continuous learning and e…
Passionate Data Science enthusiast with expertise in machine learning, deep learning, and data analysis. Proficient in Python, SQL, cloud platforms, and various data analysis tools. Committed to continuous learning and exploring new opportunities in the field of Data Science.
Developed real-time dashboards for Fundly's lending and marketplace verticals using R Studio, Shiny Apps, and Metabase (SQL)
Built predictive models with high accuracy: Customer Propensity to Purchase (93%) and Loan Uptake (89%)
Created a real-time collection report to track revenue by customer and DPD based AUM segmentation
Produced quarterly MIS reports on disbursements, cost and income and DPD portfolio cuts by hubs and lenders
Implemented a churn tracker for monitoring risky transactions
Developed real-time dashboards for Fundly's lending and marketplace verticals using R Studio, Shiny Apps, and Metabase (SQL), Built predictive models with high accuracy: Customer Propensity to Purchase (93%) and Loan Uptake (89%), Created a real-time collection report to track revenue by customer and DPD based AUM segmentation, Produced quarterly MIS reports on disbursements, cost and income, and DPD portfolio cuts by hubs and lenders, Implemented a churn tracker for monitoring risky transactions
Developed a real-time anomaly detection system using Apache Kafka, Microsoft Azure and Power BI
Developed a real time fraudulent call detection system using Microsoft Azure
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