Arijit Chanda
About Arijit Chanda
Arijit Chanda is a Meteorological Data Engineer at Tomorrow.io, where he has worked since 2021. He has a strong background in atmospheric sciences and has held various roles in meteorology and data engineering over the years.
Work at Tomorrow.io
Arijit Chanda has been employed at Tomorrow.io as a Meteorological Data Engineer since 2021. In this role, he focuses on the integration and analysis of meteorological data to enhance weather forecasting capabilities. His work contributes to the development of innovative solutions that support stakeholders and customers in understanding forecast quality and anomalies.
Education and Expertise
Arijit Chanda holds a Master of Technology (MTech) in Atmospheric Sciences and Meteorology from the Indian Institute of Science (IISc), where he studied from 2014 to 2016. He also earned a Bachelor of Technology (BTech) from Pondicherry Engineering College between 2010 and 2014. His educational background provides a solid foundation in meteorological principles and data analysis techniques.
Professional Background
Arijit Chanda has a diverse professional background in meteorology and data engineering. Prior to his current role, he worked at Utopus Insights as a Senior Meteorologist-cum-Data Scientist from 2019 to 2021. He also served as a Research Engineer at the Center for Study of Science, Technology and Policy from 2016 to 2018, and as a Software Engineer at Parabole.ai for 11 months in 2018-2019. Additionally, he has been a member of the MUST Research Club since 2016.
Achievements in Data Engineering
Arijit Chanda has made significant contributions in the field of data engineering. He developed a platform that analyzes forecast quality, errors, and anomalies, which aids stakeholders in decision-making. He successfully reduced data onboarding time by 80% through the creation of scalable ETL pipelines. His implementation of AI and physics-based solutions has also helped to minimize model bias in weather forecasts.
Technical Skills and Projects
Arijit Chanda has demonstrated expertise in machine learning by designing and deploying both unsupervised and supervised models for anomaly detection, achieving accuracy rates of 75% and 80%, respectively. He led a proof of concept for ETL vendor selection, which had a total contract value of 50,000 USD, assisting management in making informed procurement decisions.