About
Product Data Scientist
I build decision systems that turn messy business data into clear actions.
I am Zaw Lynn Htut, a product-focused data scientist with 9+ years of combined analytics experience, including 6+ years in data science and advanced analytics. My work sits at the intersection of analytics, machine learning, experimentation, and business decision-making across telecom, retail, and digital businesses.
9+ yrs
combined analytics experience
6+ yrs
data science and advanced analytics
$0.2M
revenue uplift from recommendation
$0.4M
savings from churn initiatives
10%
retention improvement
30+
projects delivered annually
What I do
Decision Science
Forecasting, recommendation, segmentation, and optimization systems that help teams decide what to do next.
Product Analytics
Turning customer and operational data into insights for growth, retention, pricing, and planning.
Execution
Hands-on across SQL, Python, dashboards, experimentation, and production analytics pipelines.
Career snapshot
Senior Data Scientist • Nul Global
Built demand forecasting and inventory decision systems translating predictions into business actions.
Senior Manager • ATOM Telecom
Led churn, recommendation, and segmentation analytics driving revenue and retention impact.
Earlier roles
Analytics and BI across telecom, finance, and digital environments.
Tools and strengths
Core tools
- SQL
- Python
- Power BI
- Metabase
Typical work
- Forecasting
- Experimentation
- Segmentation
- Decision support
Strengths
- Business framing
- Messy data
- Stakeholder communication
Want to see how I work?
Explore the case studies to see how I approach real business problems.