Hi, I'm Kishore Shanmugam.
About Me
I’m a Lead Data Analyst with 5+ years of experience turning complex survey and operational data into actionable insights. At Grant Thornton Stax, I’ve led end-to-end analytics projects from survey design and modeling to building Power BI dashboards. Skilled in SQL, Python, and data visualization, I focus on driving decisions, reducing inefficiencies, and uncovering growth opportunities.
Currently pursuing a Master’s in Business Analytics at the University of Colombo, I’m expanding my expertise in advanced analytics, machine learning, and data science. Passionate about translating complexity into clarity, I aim to bridge technical insight with business impact.
Open to freelance projects and collaborations that turn analytics into real-world results.
Let’s connect.
My Journey
A timeline of my professional experience and education.
Undergraduate
October 2017 — December 2020
Completed Degree in BBA (Hons) Specialising in Business Analytics
Lead Data Analyst
Postgraduate
Masters in Business Analytics
Senior Data Analyst
Associate
Web Survey Insights Intern
Digital Customer Service Intern
Undergraduate
Completed Degree in BBA (Hons) Specialising in Business Analytics
Technical Arsenal
My expertise across various domains and technologies.
Cloud & DevOps
Data Science
Data Visualization
Database
Machine Learning
Programming
Tools & Platforms
Featured Projects
A selection of my recent work, ranging from web apps to design systems.
Customer Churn Prediction & Segmentation
An end-to-end ML application that predicts telecom customer churn with 93% accuracy using a TensorFlow ANN, with customer segmentation and a live Gradio interface deployed on Google Cloud Run.
Semantic LLM Book Recommender
An AI-powered book recommendation engine that understands natural language queries, uses OpenAI embeddings and ChromaDB vector search to find semantically relevant books, and re-ranks results by emotional tone - served through a Gradio interface.
UK Train Traveling Web Dashboard
An interactive web dashboard analyzing traveler behavior and operational performance across UK rail routes, with 11 dynamic visualizations, a geographic map, and live deployment on Google Cloud Run.
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