Hnin Wai Khaing

Collected, cleaned, and integrated large-scale datasets; designed and maintained Power BI dashboards and KPI reports for churn, ARPU, and revenue; conducted contact centre analytics to identify drivers of customer behavior and satisfaction; improved retention accuracy; collaborated with data engineers to enhance data pipelines and reporting reliability; delivered data-driven insights for executive decisions; supported management reporting with BI and compliance dashboards.

Cleaned and transformed telecom data using SQL, Python, and Excel to identify performance issues, outages, and customer-impacting trends. Improved customer retention by 19% through churn segmentation and cohort analysis, and performed root-cause analysis on complaints to reduce repeated issues by 15%. Collaborated with Network Engineering, Customer Care, and IT to translate business needs into analytical insights, reducing manual reporting time by 18%. Conducted churn analysis and time-series forecasting to identify high-risk groups and inform retention strategies. Designed and automated interactive Power BI dashboards to visualize KPIs such as churn rate, network usage, ARPU, and customer satisfaction trends; presented insights to management to drive network performance and customer experience improvements.

Engineered and optimized backend applications using Go (Golang) and PHP, improving system performance and scalability by 20%. Implemented machine learning algorithms such as Random Forest and SVM to improve prediction accuracy by 15% and automated reporting, saving over 20 hours monthly. Managed enterprise databases including PostgreSQL, MySQL, MongoDB, and Oracle that handled over 1 million records, improving query speed by 30%. Improved UI performance by reducing load times by 25% and resolved recurring bugs. Resolved more than 15 software issues per sprint, enhancing product reliability and Agile team efficiency.