About
I like making data easier to use.
I’m Sudhanshu Mukherjee (সুধাংশু মুখার্জি), a data scientist and AI/ML engineer based in Massachusetts. I enjoy automating processes and getting insight out of data, and I’m happiest where natural language processing, large language models and machine learning meet practical software.
I graduated with a master’s in data science from the University of Massachusetts Dartmouth in May 2025. Before that I spent three years as a BI developer, and since then I’ve worked on multi-agent analytics and built the tools on this site. I’m open to full-time roles and to doctoral research in NLP, multimodal LLMs and machine learning.
01Journey
Where I’ve been
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Sep 2025 – Jul 2026
Data Analyst · Community Dreams Foundation
Remote
Built a multi-agent analytics system in Python and LangChain, with four specialized agents that process biomedical data and generate recommendations. Reconciled BI dashboards against source databases with SQL.
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Sep 2022 – May 2025
M.S. in Data Science · University of Massachusetts Dartmouth
Dartmouth, MA
Thesis: Rapid Insight Data Engine, an open-source framework for agentic, automated tabular data analysis. That work continues in RI2 and WRANG.
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Sep 2023 – May 2025
Teaching Assistant · UMass Dartmouth
Dartmouth, MA
High Performance Scientific Computing (DSC 520): mentored graduate students on PyTorch, Python optimization and parallel computing. Earlier, ran C programming labs for CIS 190.
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Dec 2023 – Aug 2024
Data Instructor · Digital Scholarship Hub, UMass Dartmouth
Dartmouth, MA
Taught hands-on workshops on data visualization with Plotly, LangChain and LLMs, SQL, machine learning basics and ArcGIS for faculty, students and staff.
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Jun – Sep 2023
Data Science Intern · Camping World – Good Sam
Chicago, IL
Grouped 10,000+ RV floorplans into 344 categories with a clustering model, and extended an executive Power BI dashboard with custom DAX metrics.
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Jul 2019 – Jul 2022
BI Developer · Maestro Intellect Private Limited
India
Delivered executive Power BI dashboards end to end, from requirements to DAX tuning, consolidated 30+ reports into one, and administered Power BI Report Server.
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Summer 2018
Software Engineering Intern · Cojag Smart Technologies
India
Front-end interfaces and an IoT-based restaurant ordering system in Python and MySQL.
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2015 – 2019
B.E. in Computer Science · G.H. Raisoni College of Engineering
Nagpur, India
Certifications
- AWS Certified Machine Learning – Specialty (2025)
- Data Carpentry Certified Instructor (The Carpentries)
02Interests
What I keep coming back to
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Language models & NLP
Pretraining small models, retrieval-augmented generation, multimodal fine-tuning, and evaluation that holds up.
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Machine & deep learning
Architecture comparisons, forecasting, and the fundamentals of how networks actually learn.
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Data engineering & analytics
Polars, SQL and DuckDB, Power BI and DAX, and the unglamorous work of making numbers reconcile.
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Developer tools
Small tools that remove a step from someone’s day, preferably without needing a server.
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Interactive applications
Interfaces that are calm, private and fast, where the design is part of the function.
03Off duty
Outside of work
- Swimming
- Gaming
- Reading
- Building small things
You’ll find me in the pool, deep in a game or a book, or building something small for the fun of it. I also write the Hustle Data newsletter.