About

Sanjay Nirmal is a result-oriented data science professional with over 6 years of experience in developing machine learning solutions. He is proficient in deep learning, machine learning, NLP, time-series, and recommendation systems. Sanjay is an open-source committer in Apache BlueMarlin project and has developed a scalable training module. Currently, he is working with Huawei to develop better audience targeting systems using deep learning. Sanjay has experience in processing large datasets using Spark, Hadoop, and Hive. He is also skilled in hands-on distributed neural network training using multiple GPUs and tensorflow-horovod. Previously, he has worked in the Algo-Trading domain and developed low latency strategies that were on production managing crypto assets. Sanjay holds a Bachelor's degree in Mechanical Engineering from the Indian Institute of Technology Delhi. He has worked with Sagacito as a data scientist where he created a predictive ad sales lead generation tool, developed a click-through rate prediction module, and worked on TV ads tracking. He was awarded the Employee of the Year 2019 for cost-cutting, efficient and quick deployment of projects to production. Sanjay has also worked with Rtheta Private Limited as an Algo Trader where he worked on ML-based trend following systems on crypto exchanges like Binance, Huobi, and Gateio. He has explored ML algorithms like CNN, LSTM, etc. to improve existing strategies and developed crypto exchange APIs with exception handling. Sanjay has also quantified Price Action Theory by Al-Brooks and back-tested it on Indian Equities. Sanjay's tech stack includes data scientist, research scientist, ML, recommendation system, Python, Spark, deep learning, reinforcement learning, neural networks, TensorFlow, NLP, big data, ResNet, computer vision, RNN, Hadoop, search, web, Apache Hive, sentiment analysis, infra, and CNN.