Data Scientist & ML Engineer

Thanawit
Suwannikom

Building intelligent systems at the intersection of
spatial analytics, machine learning, and real-world impact.

View Projects Experience

Background

About Me

I'm a data scientist and machine learning engineer passionate about building intelligent systems that connect data to real-world impact. My work lies at the intersection of spatial analytics, machine learning, and user-centered decision support— transforming messy, complex data into models and tools that drive business and societal value.

Currently working as a Lead Data Scientist at Central Food Group, I completed a Master's in Urban Analytics at Georgia Tech, where my research focused on location intelligence, transportation access, and computer vision applications for urban systems.

Over 7+ years across telecom, retail, and real estate—designing ML pipelines, deploying production models, and creating interactive data visualizations that make complex insights accessible and actionable.

GitHub GitHub R RPubs LinkedIn LinkedIn

Career

Experience

Nov 2025 — Present

Lead Data Scientist

Central Food Group

  • Design and implement cashier scheduling optimization solutions to maximize sales per FTE while keeping customer wait times low.
  • Operationalize an ML-based demand forecasting system for promotional products using MLOps best practices across 100k+ products.
May — Aug 2025

Machine Learning Scientist Intern

Center for Urban Resilience and Analytics

Developed a LightGBM-based recommendation system for assistive equipment tailored to elderly users, achieving 81% mAP; hosted on-premise for secure, localized accessibility.
Aug 2024 — Apr 2025

Graduate Research Assistant

Georgia Institute of Technology

Designed ML and geospatial models to analyze infrastructure access and urban mobility. Collaborated with faculty and policy partners on sidewalk quality detection and job accessibility modeling across U.S. states.
Apr 2023 — Jul 2024

Senior Data Scientist

CJ Express

Developed end-to-end ML solutions for retail optimization. Deployed computer vision models for shelf auditing and built customer segmentation with real-time product recommendations to improve marketing effectiveness.
Apr 2019 — Mar 2023

Senior Data Scientist

True Digital Group

Led a team delivering large-scale analytics using telecom and geospatial data. Built a Customer360 dataset from 30M+ users, developed location recommendation models, and created real-time COVID-19 risk dashboards for the Ministry of Public Health.
Oct 2017 — Mar 2019

Data Scientist

Sansiri PLC.

Designed geospatial intelligence tools for land acquisition and urban planning. Developed semantic segmentation models from satellite imagery and C-level dashboards for data-driven real estate development decisions.

Work

Projects

Autonomous Bus System in Tokyo Bay

Data-Driven Design of Autonomous Bus System in Tokyo Bay

Analyzed GPS trajectory data and applied clustering to identify trip hotspots. Used TSP optimization and semantic segmentation on Google Street View to verify stop suitability.
Parking Demand Imbalance

Spatiotemporal Analysis of Parking Demand and Supply Imbalance

Mapped spatial-temporal parking mismatches using inverse 2SFCA. Built classification models using satellite and street view imagery to identify parking types.
Public Transit Accessibility London

Public Transit Accessibility Analysis (London)

Modeled multimodal accessibility to hospitals and schools across London using GTFS and OSM data. Identified transit inequities and informed planning with spatial equity analysis.

Wildfires Scrollytelling

Wildfires in America — Scrollytelling

An interactive, scroll-driven narrative visualizing the spread and impact of wildfires across the U.S. with dynamic maps and immersive data storytelling.
Atlanta Healthcare Accessibility

Atlanta Healthcare Accessibility and Network Analysis

Analyzed hospital accessibility and optimized healthcare facility distribution in Atlanta using GIS and Python.