Parth Shah

Parth Shah has a diverse work experience in the field of data science and technology. Parth started their career as a Software Developer Intern at Infosoft, where they developed front-end modules and implemented database queries. Parth then moved on to Imagine Software, where they worked as a Financial Analyst Intern, helping clients manage their portfolios and creating custom data flow systems. Parth also gained experience as a Technology Summer Analyst Intern at RBC Capital Markets, optimizing SQL queries and automating data conversion processes. Parth later joined Sia Precision Education as a Data Scientist, contributing to data analysis projects. Parth then joined AT&T as a Data Analyst, where they improved the identification of competitor browsing churners and developed a blend architecture for predictive modeling. Most recently, they are working at Feedzai as a Data Scientist. In 2023, Parth will join Afficiency in the same role.

Parth Shah completed their Bachelor's degree in Computer Engineering from SARDAR VALLABHBHAI PATEL INSTITUTE OF TECH.,VASAD 041, from 2013 to 2017. In 2019, they enrolled at Rutgers University and pursued a Master of Science (MS) degree in Data Science, which they completed in 2020.

Additionally, Parth Shah obtained several certifications to complement their education. In 2018, they received the "MTA: Database Fundamentals - Certified" certification from Microsoft. In 2017, they obtained the "Statistics & R" certification, although the institution is not specified. Most recently, in June 2020, they completed the "Neural Networks and Deep Learning" certification from Coursera.