About

Antriksh Saxena is a Data Science and Machine Learning enthusiast with hands-on experience in Python, Spark, SQL, Hive, and AWS (cloud) with good aptitude and logical understanding. He holds a Bachelor's degree focused on Electrical Engineering from the Indian Institute of Technology, Roorkee. Currently working as a Senior Associate (Machine Learning & Cloud) at upGrad, Antriksh is part of building the Advanced Certification program on Machine Learning and Cloud (MLC) in collaboration with IIT Madras. This program is built for working professionals for career growth and transition from their present role to the Data Science, Machine Learning, and Cloud roles. He has implemented many Machine Learning and Data Analytic concepts using Python and has hands-on experience with some of the industrial case studies. Antriksh has also done hands-on using MySQL and Hive and has a decent understanding of AWS, Kubernetes, Flask, and Docker. Currently, he is working on building industrial application-based content on Natural Language Processing for the PG Diploma in Data Science program in association with IIIT Bangalore. In NLP, he has created a case study on an e-commerce dataset, which consists of user reviews of multiple products. He has performed sentiment analysis and based on that, built a recommendation system using cosine similarity and ALS algorithm. In his past experiences, Antriksh has worked as a Product Development & Automation and Optimization at Reliance Jio Infocomm Ltd., where he performed analysis for the optimization and automation of LTE/4G Network using different Telecom Data sets. He also developed an e2e Customer Analytics Portal for Business, Network Planning, and Optimization teams using calls and internet data of users. Antriksh has a good understanding of RAN Protocols, EPC (Evolved Packet Core), IMS (for VoLTE), and Data Call Flow. He has also performed Drive Test for Sites’ Clusters and developed an Energy Analytics portal to track the fuel data from different PSUs and account the consumption entry and records using multiple datasets. Apart from his work experiences, Antriksh has also served as Bhawan Technical Secretary at Ravindra Bhawan, IIT Roorkee, where he was elected by residents of Ravindra Bhawan in Student Affair Council (SAC) Election -2015 to manage mentorship programs among students and faculties of various departments & various technical activities like website development at Bhawan level, cashless campus,