Sai Apoorva R

Apoorva R is a skilled Data Scientist with extensive experience in implementing machine learning algorithms across various industries. Currently at Quotient since December 2021, Apoorva introduced Agile Methodology for app development and utilized Logistic Regression, Decision Trees, KNN, and Naive Bayes for classification. Prior experience at Thomson Reuters involved combining XGB Classifier and Regressor techniques while designing frameworks using Python, R, and MATLAB. At Travelport, Apoorva employed collaborative filtering and gradient boosting trees for product recommendations and risk evaluation, while earlier at Cummins India, participation in design and development focused on detecting handwritten digits through artificial neural networks and convolution neural networks.