About

Rajdeep Arora is an experienced Senior Data Scientist with a demonstrated history of working for top fortune 100 companies in the fields of Supply Chain, Finance, Marketing, and eCommerce. He has also worked with fast-paced startups in the field of Natural Language Processing, Computer Vision, and traditional ML algorithms. Rajdeep has been associated with organizations for building the data science product ecosystem of ideation & conceptualization, building models, productionizing and monitoring frameworks. Currently, Rajdeep is focused on making model training & serving faster with edge deployment and event-driven architectures. He is a Data Science Mentor at Great Learning & Massachusetts Institute of Technology, where he mentors professionals and students for the Applied Data Science Program. Rajdeep has worked as a Lead Data Scientist at Tiger Analytics, where he ideated and implemented a Profile Synthesis Machine Learning Pipeline, which runs entity recognition for ~160 Mn Profiles on a daily basis. He is also working on the design and implementation of real-time and batch-driven machine learning data pipelines. His tech stack includes Python, Scala, Spark(Streaming), Kafka(streaming), Airflow, elastic search, graph databases, Kubernetes, and AWS. Rajdeep has also worked as an Assistant Tutor at UC Berkeley Extension, where he taught data analytics using Python, R programming, VBA & data visualization - Tableau, instructed Big data processing frameworks like Spark, Hadoop ecosystem, and captured areas of Statistics, OOPS & Machine Learning. Rajdeep has a Master's degree in Analytics from The University of Texas at Dallas and has completed several certification programs in Data Structures & Algorithms using Python, Natural Language Processing, Apache Spark with Scala, and Cloud DevOps Engineering. He has also completed a Data Engineer Nanodegree from Udacity. Rajdeep's tech stack includes Data Scientist, ML, Research Scientist, Computer Vision, NLP, AWS, Spark, Apache Airflow, Python, Kubernetes, Elastic Search, Kafka, Search, Scala, Big Data, and Hadoop. He has 3.62 years of relevant experience in the field of data science. Rajdeep is an accomplished professional with a passion for building digital data products.