About

Bhavesh Navandar is a highly skilled Python Developer currently working at Auquan, where he is involved in designing and developing robust and scalable backend systems to work with productionized ML models. He is also responsible for designing and developing the data pipelines for scale that are being used for Portfolio Activity Monitor at Auquan. With a relevant experience of 2.78 years, he has worked on various technologies including Python, MongoDB, FastAPI, React, Neo4J, MSSQL, Node, and AWS. Prior to Auquan, Bhavesh worked at Oracle as an Application Engineer, where he was part of the Data Migration Team. In this role, he was responsible for automating large scale data migration and replication from on-premise to cloud for different teams under Oracle. He also worked on maintaining and debugging tools used internally for importing bulk data. His tech experience includes PLSQL, SQL, REST API, Apex, and Oracle Cloud. Bhavesh has a Master's degree and a Bachelor's degree in Mathematics and Chemical Engineering, respectively, from Birla Institute of Technology and Science, Pilani. He has also worked as an Intern at Upgrad, where he worked as a Content Strategist in the Data Science team. He made a module on PCA and Programming in Python and conducted a live teaching session on logistic and linear regression for the internal content team. Bhavesh's tech stack includes Python, Research Scientist, Neo4j, AWS, ML, MongoDB, Javascript, SQL, Backend, Redis, MSSQL, Data Scientist, RNN, Mobile, and UI. With his expertise in these technologies and his experience working with different companies, Bhavesh is a valuable asset to any organization.