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I am a data scientist with 6+ years of experience across telecom, finance, and retail. I excel in Python, SQL, and applied ML, with hands-on deployment of forecasting, churn, segmentation, and LTV models. I turn messy data into practical solutions that drive growth, delivering real business results such as an 80% reduction in inventory overstock, a 10% improvement in retention, and a USD 0.2M revenue uplift.…I am a data scientist with 6+ years of experience across telecom, finance, and retail. I excel in Python, SQL, and applied ML, with hands-on deployment of forecasting, churn, segmentation, and LTV models. I turn messy data into practical solutions that drive growth, delivering real business results such as an 80% reduction in inventory overstock, a 10% improvement in retention, and a USD 0.2M revenue uplift.

Zaw Lynn Htut

Data Scientist, Data Analyst, Project Manager, +4

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I am a data scientist with 6+ years of experience across telecom, finance, and retail. I excel in Python, SQL, and applied ML, with hands-on deployment of forecasting, churn, segmentation, and LTV models. I turn messy data into practical solutions that drive growth, delivering real business results such as an 80% reduction in inventory overstock, a 10% improvement in retention, and a USD 0.2M revenue uplift.…I am a data scientist with 6+ years of experience across telecom, finance, and retail. I excel in Python, SQL, and applied ML, with hands-on deployment of forecasting, churn, segmentation, and LTV models. I turn messy data into practical solutions that drive growth, delivering real business results such as an 80% reduction in inventory overstock, a 10% improvement in retention, and a USD 0.2M revenue uplift.

Available to hire

I am a data scientist with 6+ years of experience across telecom, finance, and retail. I excel in Python, SQL, and applied ML, with hands-on deployment of forecasting, churn, segmentation, and LTV models.

I turn messy data into practical solutions that drive growth, delivering real business results such as an 80% reduction in inventory overstock, a 10% improvement in retention, and a USD 0.2M revenue uplift.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior Data Scientist at Nul Global

May 1, 2025 - Present

Built end-to-end demand forecasting models for agentic inventory optimization (Python, LightGBM, Prophet). Performed hypothesis testing for fashion trends, weather, footfall, and demographic segments. Delivered ML pipelines in production (MLOps) and reduced overstocking for clients by up to 80%.

Senior Manager at ATOM Telecom Myanmar

May 1, 2023 - May 1, 2025

Deploying churn prediction, product recommendation, and segmentation models. Generated USD 0.2M additional revenue through product recommendation in 2024. Saved USD 0.4M by reducing churn through predictive modeling + targeted offers. Improved customer retention by 10% through new marketing segmentation strategy. Managed a team of 4 analysts + 1 junior data scientist, delivering 30+ analytics projects annually.

Manager: Analysis & Analytics at Ghostcap

May 1, 2021 - December 31, 2023

Improved customer onboarding using A/B testing, increasing registrations by 20%. Enhanced SQL data structures, boosting model training speed by 30%. Automated Power BI reporting, reducing reporting time by 65%. Improved ML feedback loops, cutting re-training workload by 25%.

Manager: Ops & Analytics at KDDI Myanmar

January 1, 2021 - May 1, 2023

Grew mobile wallet market share by 15% through ML segmentation + marketing execution. Improved stakeholder dashboard clarity by 20% for faster insight delivery. Reduced data processing time by 40% with optimized SQL pipelines.