Rutgers University - New Brunswick, NJ

• Master of Science - Statistics, Data Science | 3.5/4 | Sept 2022 - May 2024
• Relevant Courses - Probability & Statistical Inference, Regression & Time Series Analysis, Data Structures & Algorithms, Financial Data Mining, Data Mining & Warehousing, Database Management Systems, Statistical Modeling, Natural Language Processing, Neural Networks, Ethical Statistics

Dr. D.Y. Patil Institute of Technology - Pune, India

• Bachelor of Engineering - Computer Engineering | CGPA : 8.1/10 | May 2016 - May 2020

Rutgers New Jersey Medical School - Freundlich Lab - New Brunswick, NJ

• Research Assistant - Data Science | August 2023
  • Led end-to-end data pre-processing and cleansing activities, resulting in a 40% reduction in runtime.
  • Leveraged feature engineering and predictive modeling to enhance the drug discovery process, resulting in a 15% improvement in model accuracy and a 20% reduction in false positive rates.

Lyons Information Systems - Edison, NJ

• Data Analyst Intern | Business Services Clientele | July 2023
  • Pioneered the utilization of uniform distribution data using anomaly detection techniques and optimized supply chains using forecasting, resulting in a 25% decrease in inventory waste.
  • Used PowerBI to create visualization dashboards that analyzed key cost drivers & user behavior, enabling stakeholders to identify areas for cost reduction and track progress, resulting in a cost reduction of 30%.

Capgemini - Pune, India

• Senior Software Engineer, Analyst | A Fortune 500 Clientele | Nov 2020 - Aug 2022
  • Achieved a 20% reduction in customer attrition by leveraging Machine Learning Models to gain valuable insights into churn factors, ultimately enhancing the budget managerial application for customers.
  • Implemented a Gradient Boosting fraud detection system trained on a dataset of historical transactions to learn patterns of fraudulent activity, reducing fraudulent transactions by 15%, further improving customer retention.
  • Preprocessed and feature engineered a dataset of user spending habits and financial goals to train machine learning models using grid search cv, leading to 25% average monthly savings.