About

Kunal Shrivastava is a highly experienced ML Engineer and part-time ML Trainer with over 8 years of extensive experience in the IT industry. He has been involved in all phases of Project life Cycle (SDLC) and Agile Analysis, Design, Development, Testing, Documentation using Jira and Confluence. Kunal has 6 years of total experience in data product development, machine learning, and IOT domain using Python. Kunal has proposed and developed POC of research projects exploring the scope of artificial intelligence in the company's product portfolio. He has worked on a web application and machine learning project life cycle. Kunal has built Energy and Optimization models that helped drive business KPIs in Telecom Tower Domain. He has 2.5 years of experience in designing and developing a stream engine using Kafka for data parsing and processing and ETL for data analytics using pyspark. Kunal has created visualization for business use cases in Tableau to bring OPEX/CAPEX benefits to end customers. He has experience in setting up Application Metrics dashboards using tools such as elastic-search, Kibana, pyspark. Kunal has also trained and mentored data science learners to achieve their milestone. Currently, Kunal is working as a Software Engineer II at lululemon, where he is working on Predictive Intelligence and Data Engineering Pipelines to deploy ML models on a production scale. In the past, Kunal has worked as a Lead Data Scientist (PM) and Senior Data Scientist at invendis technologies india. Kunal's tech stack includes ML, Software Engineer, Data Scientist, Research Scientist, Data Engineering, test, Python, Kafka, Search, ETL, Web, and product manager. With relevant experience of 9.37 years, Kunal is a highly skilled and experienced ML Engineer and Trainer.