Tabassum Fazel
About Tabassum Fazel
Tabassum Fazel is a Senior Data Scientist with extensive experience in data analytics and machine learning. He has worked at various organizations, including Discover Financial Services and Oportun, and holds multiple degrees from the Indian Institute of Technology, Madras, and the University of Minnesota.
Current Role at Oportun
Tabassum Fazel serves as a Senior Data Scientist at Oportun, where she has been employed since 2022. In this role, she specializes in utilizing complex machine learning and statistical techniques to derive data-driven insights. Her work contributes to the company's mission of providing accessible financial solutions.
Previous Experience at Discover Financial Services
Prior to her current position, Tabassum worked at Discover Financial Services as a Senior Data Science Analyst from 2020 to 2022. In this capacity, she applied her expertise in data analytics to support decision-making processes and enhance business performance.
Experience at Kabbage, Inc.
Tabassum Fazel held the position of Senior Decision Analyst at Kabbage, Inc. from 2016 to 2019. During her tenure in Bengaluru, India, she focused on data analysis and decision-making strategies that aided the company's growth and operational efficiency.
Education and Expertise
Tabassum completed her Master of Technology (M.Tech.) in Mechanical Engineering at the Indian Institute of Technology, Madras, from 2011 to 2016. She also holds a Bachelor of Technology (B.Tech.) in the same field. Additionally, she earned a Master's degree in Business Analytics from the University of Minnesota - Carlson School of Management in 2020. Her expertise includes exploratory and statistical data analytics, predictive modeling, hypothesis testing, A/B testing, market basket analysis, clustering, and data visualization.
Technical Skills and Tools
Tabassum is proficient in a range of analytical tools and programming languages. Her skill set includes Python (with libraries such as Pandas, Numpy, and Sci-kit learn), R, SQL (RDBMS), Tableau, PySpark, Hive, Hadoop, and AWS. These tools enable her to effectively analyze data and generate insights that inform business strategies.