Automated Valuation for Real Estate: Predicting House Prices w/ Shreyas Raghavan
September 14, 2021
Shreyas Raghavan, data scientist, Technical Architect at PayPal, will discuss predicting house prices via an automated valuation model.
Shreyas's technical article 'Create a model to predict house prices using Python' received over 1300 claps on TowardsDataScience.
Shreyas Raghavan is a Technical Architect at PayPal working for the Global Credit Risk and Collection team. His role involves creation of Data Pipelines between application to help identify fraudulent transactions at source. Prior to PayPal, Shreyas was leading a team of Data Scientists towards D&B's Analytics as a service platform. Shreyas also had brief stints in education domain where he worked as a consultant to Udacity, where he utilized his specialized knowledge in the field(s) of Data Science , machine learning and deep learning with his strong communication skills to provide project reviews and other student support services. He also contributes actively back to the Data Science community as a trainer and has been associated with various educational startups such as UpGrad and AcadView.
45 min Presentation + 15 min Q&A
Get in Touch Links:
Shreyas Raghavan on GitHub
Shreyas Raghavan on LinkedIn