Customer Churn Analysis
Driver analysis and dashboarding in Power BI to support retention strategy and targeted actions.
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About
I am a data scientist and analyst professional with experience across consulting (financial services and banking), E-commerce, and Retail Commercial. I specialize in experimentation, machine learning, forecasting, and AI-driven personalization to deliver measurable business impact.
I have led A/B testing initiatives, applied machine learning and causal impact analysis to inform investment decisions, built sales, profit, and cost forecasting models, and defined customer segmentation strategies to support CRM initiatives. I have also worked on AI search ranking and recommendation solutions.
Outside of work, I am passionate about continuous learning and knowledge sharing through tech and business communities. I also write about AI experiments on Medium, using writing to sharpen both my analytical thinking and creativity.
MY JOURNEY
Journey
Professional Experience
Data Science & Analyst
Digitas UK
Oct 2025 - Present
Applied Natural Language Processing on 77 million-row web-crawl datasets for LLM fine-tuning; performed causal inference for ROI analysis and time-series forecasting with 2% backtest variance; delivered insights to senior leadership.
Data & Marketing Analyst
SEA (Shopee & ShopeeFood)
2021 - 2023
A/B testing, Personalization, Customer Relationship Management, Growth strategy, and Segmentation.
Operational Forecasting & Management
UNIQLO
2023 - 2024
Demand forecasting, Inventory planning, performance tracking, and operational decision support.
Education
Master’s Degree | Business Analytics
University College London
Sep 2024 - Sep 2025
Data Science & AI, Machine Learning, Predictive Analytics, Marketing Analytics, Business Strategy.
Bachelor’s Degree | Economics
Thammasat University
2017 - 2021
Macroeconomic and Microeconomic Theory, Statistics, Econometrics, Financial and Monetary Policy, International Business Management
MY EXPERTISE
Python
Pandas, NumPy, PySpark
SQL & Databases
Data modeling & pipelines
Machine Learning
Traditional and deep learning models, scikit-learn, TensorFlow
AI & LLMs
Prompt engineering, fine-tuning, non-parametric evaluation
A/B Testing
CRM, causal inference, uplift modeling
Dashboards
Power BI & Looker
Cloud & Big Data
Google Cloud Platform
Communication
Data storytelling, presentation, stakeholder management, problem framing
PORTFOLIO
Portfolio
Competitor Analysis (AI in PowerBI)
Competitor performance analysis with AI-assisted insights to highlight patterns and strategic opportunities.
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Employee Attrition for HR Analysis
HR analytics dashboard to explore attrition drivers and support workforce planning decisions.
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Sales & Cost Analysis
Sales and cost driver analysis to support pricing, profitability, and operational improvements.
View ProjectBLOG
Blog
AI experiments, Technical Experimentation, productivity
Latest Writing
01
AI's Code Battle: The LLM Tournament (Part 2)
Comparing coding capabilities across leading LLMs through systematic evaluation.
Read on Medium02
AI's Code Battle: The LLM Tournament (Part 1)
Setting up the framework for evaluating LLM coding performance.
Read on Medium03
From Memory to Meaning: How RAG Builds the Thinking Mind
Exploring Retrieval-Augmented Generation and its impact on AI reasoning.
Read on Medium04
ChatGPT's Secret Toolbox: Beyond Just Chatting
Uncovering advanced ChatGPT capabilities and practical applications.
Read on MediumLET’S CONNECT
Message me below or connect on LinkedIn , and I will be in touch soon!