Varun Saravanan

Varun Saravanan has a diverse work experience in various data-related roles. Varun currently works as a DataOps Engineer at Tamr since 2022. Prior to that, they worked as a Data Scientist at the Massachusetts Institute of Technology from December 2019 to June 2022. In this role, they implemented data de-identification protocols, optimized image preprocessing pipelines, and created automated pipelines for data preprocessing and querying.

Before their role at MIT, Varun was a Health Data Fellow at Insight Data Science from June 2019 to December 2019. Varun'sresponsibilities included developing a web application for hospital search, cleaning and integrating large datasets, and validating models.

Varun also served as a Graduate Research Assistant at Emory University from August 2013 to September 2019. Varun'swork involved studying the role of dopamine in sensorimotor adaptation, building statistical analysis pipelines, and promoting the growth of the Data Science graduate student community.

Additionally, Varun gained research experience as a Summer Research Intern at Ruhr University Bochum in 2012. Varun developed a computational model to explain memory consolidation mechanisms and received funding from the German Academic Exchange Service for their research.

Overall, Varun Saravanan's work experience showcases their expertise in data science, research, and developing data-driven solutions.

Varun Saravanan's education history begins in 2009 when they enrolled at the Indian Institute of Technology, Madras. Varun pursued a Bachelor of Technology degree in Engineering Physics and completed their studies in 2013.

After completing their undergraduate degree, Varun went on to attend Emory University from 2013 to 2019. At Emory University, they pursued a Doctor of Philosophy (PhD) in Neuroscience.

In addition to their formal education, Varun also obtained several certifications. Varun completed the following courses on Coursera: "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization", "Structuring Machine Learning Projects", "Neural Networks and Deep Learning", "Managing Big Data with MySQL", "Applied Machine Learning in Python", "Applied Plotting, Charting & Data Representation in Python", and "Introduction to Data Science in Python". Varun obtained these certifications between July 2017 and January 2020.

Overall, Varun Saravanan has a strong educational background in both Engineering Physics and Neuroscience, coupled with additional certifications in various areas related to data science and machine learning.