About

Bhavesh Navandar is a highly skilled Python Developer with a strong background in Mathematics and Chemical Engineering. He is currently working at Auquan, where he is involved in designing and developing robust and scalable backend systems to work with productionized ML models. Bhavesh is also responsible for designing and developing data pipelines for scale that are being used for Portfolio Activity Monitor at Auquan. His tech stack includes Python, MongoDB, FastAPI, React, Neo4J, MSSQL, Node, and AWS. Bhavesh has a wealth of experience in the tech industry, having previously worked at Oracle as an Application Engineer. While at Oracle, he was part of the Data Migration Team, where he automated large-scale data migration and replication from on-premise to cloud for different teams. He also worked on maintaining and debugging tools used internally for importing bulk data. Bhavesh's tech experience at Oracle includes PLSQL, SQL, REST API, Apex, and Oracle Cloud. Before joining Auquan and Oracle, Bhavesh worked as an intern at Upgrad, where he was a Content Strategist in the Data Science team. He made modules on PCA and Programming in Python and conducted a live teaching session on logistic and linear regression for the internal content team. Bhavesh holds a Master's degree and a Bachelor's degree from Birla Institute of Technology and Science, Pilani, in Mathematics and Chemical Engineering, respectively. His tech stack includes Python, Research Scientist, AWS, Neo4j, ML, SQL, Backend, MongoDB, MSSQL, Data Scientist, RNN, Redis, Mobile, and UI. With 2.78 years of relevant experience, Bhavesh is a highly skilled and motivated developer who is dedicated to building robust and scalable systems that can handle large amounts of data.