Quotient
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.
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Quotient
Quotient Inc. is a information technology systems integrator providing customized technology solutions primarily to the United States Federal Government, including those in the defense and civilian communities. Quotient specializes in web design and development and content management solutions which contain an emphasis in the integration of new technologies and social media initiatives, as well as cybersecurity and application development with a focus on mobile applications. Quotient is a small business with more than 10 years experience using industry-recognized best practices. We work in partnership with our clients to provide solutions that meet or exceed their expectations and that are delivered on time and within budget. Quotient does not attempt to be the low cost provider, rather, we seek to present innovative solutions which mesh with customers needs to seek “best value” solutions.