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About Me

Data storyteller with
a passion for clarity

A data scientist who believes that the best insight is the one that gets acted on — not just documented.

Suparna Chowdhury
Suparna Chowdhury
Data Scientist
Email: suparna.chowdhury.data@gmail.com LinkedIn GitHub Medium Blog Twitter / X Instagram
Profile
A data scientist who speaks business

I translate complex data into actionable insights that drive tangible business results. My expertise spans machine learning, predictive modeling, and NLP — helping teams make smarter, faster decisions.

Whether I'm building robust models in Python or crafting clear dashboards in Tableau, I bring technical depth and strategic focus — always aligning solutions with real customer needs.

When I'm not working with data, I enjoy playing the piano to relax and recharge. Known for blending adaptability with code (and the occasional chord), I'm a collaborative problem-solver who transforms noise into clarity.

Education & Credentials
Education
MS in Electrical Engineering
University of South Alabama, Alabama · July 2015
Certifications
IBM Data Science Professional Certificate
IBM · January 2023
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Fundamentals of Visualization with Tableau
UC Davis · January 2023
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Services

What I can
do for you

From raw data to boardroom-ready insights — I cover the full journey, technically and strategically.

  • SQL queries and automated data extraction pipelines
  • Advanced transformation and cleaning with Python / dbt
  • Statistical hypothesis testing and KPI analysis
  • Trend identification and predictive forecasting
  • Interactive Tableau and Power BI dashboards
  • Executive-level data storytelling for stakeholders
  • DAX calculations and advanced data modeling
  • Custom visual analytics solutions
  • Supervised and unsupervised learning models
  • Predictive modeling for churn, LTV, and credit risk
  • NLP pipelines for sentiment analysis and classification
  • Model deployment and MLOps integration
  • Custom prompt engineering for LLM optimization
  • Building RAG (Retrieval-Augmented Generation) systems
  • Developing AI agents for task automation
  • Exploring AGI-adjacent frameworks and neural architectures
Research

Published Work

Peer-reviewed research spanning reinforcement learning, computer vision, and energy systems.

IEEE · December 2017
A reinforcement learning algorithm based technique for thermal energy management of a PEM fuel cell power plant
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SPIE · April 2016
Efficient face recognition using local derivative pattern and shifted phase-encoded fringe-adjusted joint transform correlation
Read paper