About

Abhay Raj Singh is an analytical professional with over 3 years of in-depth experience in solving multiple business problems across the Retail and Technology domains for Fortune 500 companies. As an Associate Technical Architect - ML at Quantiphi, he has leveraged decision sciences and statistical tools to define, analyze and obtain solutions for various projects. Abhay's goal is to leverage analytics to help organizations predict and respond to changes that influence their domains in a sustainable manner. He aims to do so by building and utilizing robust data analytics systems that quicken the information flow required to make fact-based decisions. Abhay's technical skills include Deep Learning for Image and Text Processing, Machine Learning for Classification, Regression, and Natural Language Processing, Platform expertise in AWS and GCP, and proficiency in Python, Flask, Django, NLTK, NLP, R, ggplot2, dplyr, C, C++, SQL, and Excel. Currently serving as a Senior Machine Learning Engineer at Quantiphi, Abhay has previously worked as a Machine Learning Engineer at the same company and as a Subject Matter Expert at upGrad. At upGrad, he created and shot modules for the PGDM Program, including Deployment of Machine Learning Models, Analyzing E-commerce Product Reviews - NLP Capstone Project, and Question-Answering using Transformers. Abhay holds a Bachelor's degree in Electrical and Electronics Engineering from Vellore Institute of Technology, where he studied from 2013 to 2017. Prior to that, he completed his HSC and SSC in Maths and Computer from St. Michael's Convent School in 2002. With 6.19 years of relevant experience, Abhay is a Senior Software Engineer with expertise in ML, NLP, Python, SQL, AWS, Big Data, Deep Learning, Django, Flask, and GCP. He is passionate about using his skills to help organizations make data-driven decisions and achieve sustainable growth.