ABOUT ME
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Suparna Chowdhury

Data Scientist

LinkedIn

I translate complex data into actionable insights, driving tangible business results. My expertise in machine learning, predictive modeling, and NLP empowers teams to make smarter, faster, data-driven decisions.

Whether it is building robust models in Python or crafting clear dashboards in Tableau, I bring a mix of technical depth and strategic focus — always aligning solutions with customer needs.

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

EDUCATION
University of South Alabama Logo

MS in Electrical Engineering

University of South Alabama, Alabama • July 2015

PUBLICATIONS

A reinforcement learning algorithm based technique for thermal energy management of a PEM fuel cell power plant

IEEE • December 2017

Efficient face recognition using local derivative pattern and shifted phase-encoded fringe-adjusted joint transform correlation

SPIE · April 2016

CERTIFICATIONS
IBM Data Science Professional Certificate

IBM Data Science Professional Certificate

IBM • January 2023

Fundamentals of Visualization with Tableau

Fundamentals of Visualization with Tableau

IBM • January 2023

WHAT I CAN DO FOR YOU

As a Business Intelligence Analyst, I transform complex data into clear, actionable insights.

  • SQL queries and automated data extraction
  • Advanced data 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
  • Aesthetic report building
  • Custom visual analytics solutions
  • Supervised and Unsupervised learning models
  • Predictive modeling for customer churn and LTV
  • Natural Language Processing (NLP) for sentiment analysis
  • 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
Portrait
Areas of Interest

Machine Learning

Machine learning is a tool, not a buzzword—I love optimizing algorithms and solving real business problems.

Natural Language Processing

With NLP, I extract insights from messy text and turn human language into structured knowledge.

Data Visualization

Data speaks louder when visualized—I enjoy designing charts that drive decisions.

Statistical Analysis

I use statistical techniques to validate assumptions and guide decision-making with confidence.

SQL Database

SQL is my tool for organizing data, running efficient queries, and making sense of massive datasets.

Data Preprocessing

I treat data preprocessing as an art—refining raw data into clean, efficient structures for efficient analysis.