Agrima Bahl
About Agrima Bahl
Agrima Bahl is a Senior Machine Learning Engineer currently working at Credit Karma and has extensive experience in data science and machine learning. She has contributed to significant projects at the Human Rights Data Analysis Group and has a strong educational background in computer science and operations research.
Work at Credit Karma
Agrima Bahl has served as a Senior Machine Learning Engineer at Credit Karma since 2018. In this role, she applies her expertise in machine learning to develop solutions that enhance the company's data analysis capabilities. Her work involves coding primarily in Python and R, focusing on building and optimizing machine learning models to improve user experience and financial insights.
Work at Human Rights Data Analysis Group
Since 2017, Agrima Bahl has worked as a Data Science Engineer at the Human Rights Data Analysis Group. In this position, she drives a project aimed at cleaning and deduplicating a dataset from Colombia to support the peace process. Her responsibilities include writing Python and R code for data deduplication and managing inconsistent data formats to create an aggregate dataset of unique records.
Education and Expertise
Agrima Bahl holds a Bachelor of Engineering (B.E.) in Computer Science from Delhi College of Engineering, where she studied from 2009 to 2013. She furthered her education with a Master of Science (M.S.) in Operations Research from the University of California, Berkeley, from 2015 to 2016. Her academic background provides a strong foundation for her work in machine learning and data science.
Previous Work Experience
Before her current roles, Agrima Bahl gained experience as a Business Technology Analyst at Deutsche Bank from 2014 to 2015 in Mumbai, India. She also worked as a Business Operations Analyst at Airtel for 10 months in 2013-2014 in Gurgaon, India. Additionally, she briefly served as a Software Engineer at Naukri.com in 2012. These positions contributed to her diverse skill set in technology and operations.
Technical Skills and Projects
Agrima Bahl is proficient in programming languages such as Python, R, and C++. She utilizes tools like vim for text editing and tmux for multiplexing. Notably, she developed strategies for the optimal use of High Bandwidth Memory (MCDRAM) for large-scale scientific applications at NERSC using the Intel Knight's Landing processor. She is also actively involved in building models on Kaggle using tensorflow-gpu, reflecting her commitment to continuous learning in machine learning.