Deewakar Chakraborty

Experience

• 

  Indian Institute of Tropical Meteorology

  Jun 2021 - May 2022

  Machine Learning Intern

  • Built Deep learning based lightning forecast model using meteorological data of lightning collected by IMD.• Worked on cleaning the data and preparing it in accordance with the proposed DL model using various Python libraries.• Implemented the model using Tensorflow framework and worked on fine tuning the model after training it.• Compared the performance of the developed DL model with current numerical model used by Meteorological Department.

• 

  MAQ Software

  May 2022 - now

  • Develop algorithms to clean and transform data into useful, actionable information. Build, test, and maintain database Pipeline architectures using Azure Data Factory and Azure Databricks.• Handle ETL regarding tasks, creating data models to be leveraged by data analysts for day to day business reporting.• Predictive analysis on top of business data to get clear insights and making predictions using Azure ML Studio

  • Software Engineer 2

    Mar 2024 - now

  • Software Engineer 1

    May 2022 - Mar 2024