Chandrish Ambati

Chandrish Ambati has a solid work experience in the field of data science and machine learning. Chandrish is currently working as a Machine Learning Engineer at Celestial AI since July 2022. Prior to that, they worked as a Research Intern in Deep Learning at the Salk Institute for Biological Studies from November 2021 to July 2022.

Before their research internship, Chandrish worked as a Data Scientist in Analytics at DataWeave from November 2019 to May 2021. In this role, they conducted various data analyses and modeling tasks using R, SQL (Amazon Athena), and Python. Chandrish also created dashboards using Tableau and Sisense for deep dive analysis and customized metrics for clients.

Earlier in their career, Chandrish worked at Kantar, where they held two roles. From May 2019 to September 2019, they served as a Senior Business Analyst, optimizing SQL code and developing regression models for promotion planning. Chandrish also built a SQL backend database and functionalities for a self-serve web app.

Prior to that, from June 2017 to April 2019, Chandrish worked as a Business Analyst at Kantar. In this role, they automated workflows and report generation using SSIS and Excel VBA, significantly reducing process time. Chandrish also created a SQL database for capturing promotions data, providing a robust framework for further reports and models.

Overall, Chandrish Ambati has gained valuable experience in machine learning, deep learning, data analysis, and database management throughout their career.

Chandrish Ambati has a Bachelor's degree with Honors in Civil Engineering from the National Institute of Technology Raipur, which was completed from 2013 to 2017. In 2021, Chandrish Ambati began pursuing a Master of Science (MS) degree in Data Science at the University of San Francisco, which is expected to be completed in 2022.

Additionally, Chandrish Ambati has obtained several certifications in relevant fields. These include certifications such as "Understanding and Visualizing Data with Python" from Coursera, "Mathematics for Machine Learning: Linear Algebra" from Coursera, "Python A-Z: Python for Data Science with Real Exercises" from Udemy, "Tableau 2020 A-Z: Hands-On Tableau Training for Data Science" from Udemy, "Introduction to Analytics 2" from North Carolina State University, "Advanced SQL for Data Scientists" from LinkedIn, "Python Essential Training" from LinkedIn, and "Statistics Foundations: 1" from LinkedIn. These certifications were obtained between 2019 and 2021.