About

Vatsal Shrivastav is a Full Stack Developer with over 4 years of experience in the information technology and services industry. He is currently working as an Associate at JPMorgan Chase & Co. and has previously worked with Societe Generale and CITI. Vatsal is a skilled professional with expertise in React, Angular, Python (Flask), Machine/Deep Learning, Airflow, PHP (Codeigniter), Databases (Mongo, MySQL). Vatsal has a B.Tech degree in Computer Science and Engineering from Vellore Institute of Technology. He has worked on various projects during his tenure at CITI, including developing Market Mix Models to solve the marketing budget allocation problem across different media channels for Credit Card and Retail Bank portfolio. He has also developed an Optimizer which used the above models to optimally allocate budget across different media channels to yield maximum ROI. Additionally, he developed a Web application for the marketing team binding the models and optimizer to facilitate budget allocation and interpretation/visualization of results in a user-friendly way. During his tenure at Societe Generale, Vatsal developed dashboard applications based on Angular6/React, Flask, MongoDB. He also developed a Deep Learning(LSTM) model to predict file transfers across all server on a future date. Additionally, he developed Automation workflows and plugins for internal developers community using Airflow and Python in Docker environment. He also developed airflow experimental APIs using Flask and an interface using Angular6 for monitoring all airflow production platforms and facilitating interaction with DAGs. Vatsal has a strong technical background and is proficient in Apache Airflow, Deep Learning, Flask, MongoDB, Python, PHP, MySQL, Web, AngularJS, Software Engineer, and Docker. With his relevant experience of 4.79 years, he is an ardent engineering professional who is always willing to learn and grow.