About

Apurva Gupta is a highly skilled data science enthusiast with over 2.5 years of industry experience in SAP Analytics and Data Science. Currently working as a Data Scientist II at Amazon, Apurva has a strong background in Data Wrangling, Machine Learning, Statistics, and Data Visualization. With a Master's degree in Data Science from Indiana University, Apurva has a Bachelor's degree in Computer Engineering from MIT Academy of Engineering, Pune, and a Science degree from DAV Public School, Aundh, Pune. Apurva's expertise lies in Python, R, SQL, Tableau, Machine Learning, Deep Learning, Big Data, and Spark. In his current role at Amazon, Apurva is responsible for Marketing Measurement. He has also worked as a Programmer and Data Analyst at Indiana University Bloomington, where he was responsible for Topic Modelling, Sentiment Analysis, and Predictive Analytics using NLP. Apurva has also worked as a Data Science intern at Foglogic, where he collaborated with software engineers to build proof-of-concept dashboards and worked on Anomaly Detection using Kernel Density Estimate (KDE). Apurva's experience in the industry has led him to develop expertise in Sentiment Analysis, Deep Learning, Spark, Big Data, and NLP. He has also worked on a project that involved scraping 1200 web pages and over 20,000 projects and their reviews from crowdfunding sources: Kickstarter and Indiegogo websites using Beautiful Soup Python. This project aimed to answer questions about robotic projects on the platform, such as what robots are currently being built or attempted to build, which projects are getting funded, what is predicting this, and what are the comments surrounding these projects, overall, and when grouped by particular attributes. With a relevant experience of 4.60 years, Apurva is a skilled Data Scientist and Research Scientist with a strong technical background. He is always enthusiastic about learning new technologies and tools to enhance his skills and knowledge.