About

Pranit Dutta is a highly skilled Data Scientist with over 3 years of relevant experience in the field. He is currently pursuing a Master's degree in Computer Science from Stevens Institute of Technology and is working as a Data Scientist at Voosh, where he has contributed significantly to the company's growth and success. At Voosh, Pranit has developed Location Intelligence for store location optimization, which helped the organization in cost-cutting by 30%. He has also automated invoice calculation and debtor reconciliation for the finance team, designed and implemented the financial dashboard in the product using python plotly and dash libraries, and created aesthetic dashboards using Google data studio for core business KPIs. Additionally, he has developed an automation process for data collection, scraping, and analysis using python and designed the LAAS business vertical using retool and tableau. Pranit is also responsible for creating and maintaining Google cloud platform at Voosh. Prior to Voosh, Pranit worked at Ericsson as an Associate Software Engineer, where he developed a machine learning-based anomaly detection system and reports in python to provide insight into the volume of tickets generated by the fault management application. He also integrated ELK stack into the fault management application to report the status of services such as Redis and Rabbitmq and provide reports to be shared with stakeholders. Pranit developed scripts for Talend (ETL TOOL) job for checking of data parsing from XML to CSV and automation scripts to generate health checks report of the Linux system, to check connectivity to different systems for the fault management application. Pranit has also worked as a Cyber Security Intern at JMR Infotech, where he set up the ELK stack for monitoring of servers and reporting purposes. He designed interactive Kibana visualization to provide business reporting, developed microservices using Python flask to make the call to the elastic database, and created a prediction model to help determine the crop yield. He also performed penetration testing and reported security vulnerabilities in the application. Pranit's education includes a Master's degree in Computer Science from Stevens Institute of Technology, a Bachelor's degree in Computer Science Engineering from PES, and he completed his schooling from Delhi Public School Bangalore South. Pranit has expertise in Data Science, Research Science, Python, Software Engineering, RabbitMQ, ML, ETL, Microservices, Flask, and other relevant technologies. With his extensive experience and skills, Pranit is a valuable asset to any organization he works with.