Sudhanshu Mukherjee ( সুধাংশু মুখার্জি )
Data Scientist, Boston, MA
email: smukherjee3@umassd.edu
I enjoy automating processes and generate insights by leveraging data. I love working at the intersection of Natural Language Processing (NLP), Large Language Models (LLM), Machine Learning, and Artificial Intelligence.
I graduated with Masters in Data Science from University of Massachusetts-Dartmouth in May 2025. Right now, I am open for Full-Time opportunities or Doctoral Research in NLP, multiomodal LLMs, and Machine Learning for next generation of models.
As part of my master's research, I have built my most ambitious project: Rapid Insights Data Engine(R.I.D.E), a No-Code Platform and a CLI Open-Source Python package designed to simplify and automate the entire data anaysis workflow on a Tabular Data. Through RIDE, I aim to bridge the gap between technical and non-technical users.
RIDE-CLI was released recently. You can find GitHub Repo and Documentation here.
RIDE Web Interface will be available soon through a self-hosted service. If you want to try our beta, Please reach out to me.
Academically, I have served as a Teaching Assistant for a High-Performance Scientific Computing class(DSC 520) in the Fall of 2024 and as a Teaching Assistant for Introduction to C Programming (CIS 190) in the Fall of 2023. I have also worked as Data Science Education Lead in the Digital Scholarship Hub at my university, where I taught multiple technical topics such as Data Visualization using Plotly, Using Langchain to interact with Large Language Model(LLM), ArcGIS for Geospatial Analysis, Introduction to SQL, and Basics of Machine Learning from December 2023 to August 2024..
Professionally, I have worked as a Data Science Intern at Camping World | Good Sam during Summer 2023 in Chicago, IL. I have also worked as a Data Scientist at Unosis Solutions Pvt. Ltd. in India from 2019 to 2022. Earlier, I have also been Softwware Engineering intern at Cojag Smart Technologies Pvt. Ltd. in India during Summer 2018. I have an experience working in E-commerce, Retail and Customer centric domains.
I like 🏊, 🎮, 📖, 👨💻