Tanya Chutani

Tanya Chutani has diverse experience in the field of data science and machine learning. Tanya is currently working as a Lead AI Engineer at AIRA Matrix Private Limited. Prior to this, they worked as a Data Scientist II at EagleView, where they built an end-to-end pipeline for segmentation of multiple structures and implemented MLOps practices for deployment and monitoring. Before that, they worked as a Data Scientist I at SigTuple, where they built object detection and morphological analysis models for urine sediment detection. Tanya also served as a Data Scientist at Charmboard, where they developed a tag generation system for fashion images. Tanya started their career as a Data Analyst Intern in Ocwen Financial Corporation, where they automated reporting processes and coordinated data integration during a merger. Tanya also worked as a Machine Learning Engineer Intern at Credible India, where they developed a risk management tool using forecasting techniques for rural agribusinesses.

Tanya Chutani completed their education as follows:

From 2023 to 2025, Tanya Chutani attended the Birla Institute of Technology and Science, Pilani and earned a Master of Technology (MTech) degree in Machine Learning and Artificial Intelligence.

From 2015 to 2019, Tanya Chutani studied at Chitkara University, where they obtained a Bachelor of Engineering (B.E.) degree in Computer Science.

Between 2001 and 2014, Tanya Chutani attended New Yashoda Public School and completed their 12th grade in the Non-Medical field.

Additionally, Tanya Chutani obtained several certifications related to their field of study. These certifications include "Structuring Machine Learning Projects" from Coursera (obtained in April 2019), "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" from Coursera (obtained in January 2019), "Neural Networks And Deep Learning" from Coursera (obtained in January 2019), "Blockchain and Deep Learning: Future of AI" from Udemy (obtained in June 2018), "Python Data Structures" from Coursera (obtained in May 2018), "Programming for Everybody (Getting Started with Python)" from Coursera (obtained in March 2018), "Intro to Python for Data Science" from DataCamp (obtained in October 2017), "C++" from SoloLearn (obtained in June 2017), "Python-Build A Virtual Assistant" from Udemy (obtained in June 2017), and "Python 3 Tutorial Course" from SoloLearn (obtained in June 2017).