Data Scientist

• May 2022 - Present

Data Scientist

• Sep 2020 - May 2022

• Unsupervised Fraud Detection on a highly imbalanced anonymized dataset (< 0.001%) using Auto-Encoders. Tools: PySPark, Tensorflow, Keras • Supervised Fraud Detection to reduce False Positives for fraudulent transactions (improve precision with perfect recall - 1). Tools: PySPark, MlLib • Prospect potential customers using Unsupervised Learning using FDIC Quarterly Call reports for Sales & Marketing team in North America • Unsupervised Fraud Detection on a highly imbalanced anonymized dataset (< 0.001%) using Auto-Encoders. Tools: PySPark, Tensorflow, Keras • Supervised Fraud Detection to reduce False Positives for fraudulent transactions (improve precision with perfect recall - 1). Tools: PySPark, MlLib • Prospect potential customers using Unsupervised Learning using FDIC Quarterly Call reports for Sales & Marketing team in North America

Data Scientist

• Dec 2018 - Sep 2020

• Involved in creating database objects like tables, views and procedures using SQL to provide definition, structure and to maintain data efficiently. • Working end-to-end on Forecasting project starting from conception and development to the marketing, and piloting of the end-time series model. • Deployed Headcount forecast model to accurately predict time to close open roles, surpassing hiring team's judgement leading to better expenses planning. • Stakeholder management via analyzing their needs and expectations; and planning and implementing solutions not only to help them make decisions but also understand the 'why' behind. • Developed Tableau visualizations and dashboards using Tableau Desktop. Show less