Rohan Chaudhari

Rohan Chaudhari has a diverse work experience in the field of technology.

In 2018, they worked as a Data Scientist at VINCI Autoroutes, where they focused on research and development of models to deal with imbalanced image datasets. Rohan also developed fire and smoke detection models using deep learning techniques.

From 2019 to 2020, Rohan worked at Vianova as a Data Scientist. Here, they contributed to the development of a pipeline for fetching streaming data from micro-mobility provider APIs. Rohan was also involved in setting up CI/CD processes and optimizing development times. Additionally, they developed a system for calculating streaming metrics and conducting spatio-temporal aggregations to help cities analyze patterns in micro-mobility usage.

Currently, Rohan is employed as a Software Engineer at SpaceSense.ai. Rohan'sresponsibilities include developing a crop health system that can handle up to 400,000 requests per day. Rohan also developed a framework called core-modules to facilitate scaling of geospatial and EO (Earth Observation) jobs. Additionally, they are involved in scaling EO R&D pipelines into scalable products, and managing data traffic of up to 13 TB every 5 days from satellites.

Rohan Chaudhari completed their education from 2013 to 2017 at Maharashtra Institute of Technology, where they earned a Bachelor of Engineering (BE) degree in Information Technology. Following this, they pursued further studies at Data ScienceTech Institute from 2017 to 2019, obtaining a Masters in Applied Data Science and Big Data, focusing on the field of Data Science. In addition to their degrees, Rohan also received the certification of SAS Certified Predictive Modeler Using SAS Enterprise Miner 14 from SAS in June 2018.