About

Megha Agarwal is a highly skilled and motivated data scientist with over 3 years of experience in building and deploying machine learning models for real-world applications. She is currently pursuing a Master of Science in Computer Science at UC San Diego, where she is exploring topics such as probabilistic learning, statistical data analysis, predictive modeling, and building scalable and efficient systems that use ML models at their core. Megha has a proven track record of success in her field, having worked as a Senior Data Scientist at CRED and a Senior Software Engineer at Samsung. At CRED, she was the primary contributor in building a credit risk engine for a portfolio of $300M+ and built and deployed short-term credit risk models that reduced defaults by up to 22%. She also created and deployed a multi-label text classification model to facilitate easy tracking of expenses and built a Propensity-To-Pay model that increased funnel conversion by 2.5x. At Samsung, Megha trained and optimized neural networks for efficient on-device image classification and proposed a novel attention-based architecture for a very fast on-device instance segmentation. Megha's education includes a Bachelor of Technology in Electrical and Electronics Engineering with a minor in Computer Science and Engineering from the Indian Institute of Technology, Guwahati, and she is currently pursuing a Master of Science in Computer Science at UC San Diego. Megha's technical skills include ML, SQL, Python, ETL, Text Classification, Tensorflow, Integration, Flask, Computer Vision, Neural Networks, AI, Deep Learning, Pytorch, and Mobile. She is currently seeking summer 2022 internships to further develop her skills and contribute to innovative projects in the field of data science.