About

Ajay Sakarwal is a highly skilled and experienced Data Scientist with over 6 years of relevant experience. Currently working at Gojek, Ajay is responsible for building end-to-end machine learning pipelines. His role involves connecting with business teams to understand problems, conducting analysis from a DS perspective, and conceptualizing plausible solutions. He then builds ML models as prototypes and moves them to production after successful reviews from various stakeholders. Ajay also creates ETL and model training pipelines to present the final output as an API to users. He monitors the health of various aspects of the ML product, such as latency, throughout, input feature distribution, success metrics, guardrail metrics, etc., by creating dashboards and alerts. He continuously looks for ways to improve performance and solidify the structure. Ajay's past experience includes working as a Product Analyst at Gojek and as a Data Scientist at Walmart. At Gojek, he created a python pipeline in airflow to extract and store features, which was then used by the already trained GBM model in serving. Ajay's educational background includes a Master of Technology (M.Tech.) in Quality, Reliability, and Operations Research from the Indian Statistical Institute, Kolkata, and an Integrated Masters in Mathematical Sciences in Statistics from the University of Hyderabad. Ajay possesses a diverse tech stack, including research scientist, data scientist, ML, Python, Apache Airflow, ETL, Spark, Big Data, GCP, neural networks, Hadoop, and Apache Hive. He is a multifaceted individual who is passionate about solving complex problems and continuously improving his skills. His ability to connect with business teams, conceptualize solutions, and develop ML models is highly commendable. Ajay is an excellent team player, and his positive attitude and willingness to learn make him a valuable asset to any organization.