Sachini Herath

Experience

• 

  Dialog Axiata PLC

  Nov 2011 - May 2012

  Engineering Intern
• 

  Ericsson

  May 2012 - Nov 2013

  Technical Project Coordinator
• 

  Dialog Axiata PLC

  Nov 2013 - now

  Key responsibilities include• Leading the development of Mobile customers’ churn prediction models. (For Voice only and Mobile Broadband separately)• Leading the development of Dialog TV products cross-selling models and churn prediction model.• Leading the development of Customers’ Mobile device changing frequency prediction model.• Leading the development of tower (site) wise revenue forecasting model for Dialog Mobile Network.• Development of dashboards (On Tableau) for overall business performance management.• Conduct Tableau, Sql and ML training programs to empower users with ‘Self-Analytics’ needs across the company. Show less Responsibilities - - Geo Spatial Analytics : Development of 2x2km grip map on top of Tableau maps to analyze more granular level market activities. - Development of customer level credit profiler for Enterprise (Segmentation) and Individual (Predictive model) customers separately to mitigate credit risks and improve billing collections- Enterprise churn management: Predictive model to identify potential churn customers (Enterprises)- Mobile Postpaid customer churn prediction model building and prevention program management- Fixed broadband customers' network experience model building- Mobile Network Speeds Analysis and competition analysis- Prepaid Customers' most preferred retailer prediction model building Show less

  • Head - AI Solutions

    Mar 2023 - now

  • Manager - Analytics

    Apr 2021 - Apr 2023

  • Assistant Manager- Business Intelligence Analytics

    Mar 2020 - Apr 2021

  • Specialist - Data Modeling

    Jul 2017 - Mar 2020

  • Senior Executive - Business Intelligence Analytics

    Nov 2013 - Jun 2017
• 

  National Institute of Business Management (NIBM - Sri Lanka)

  Feb 2020 - now

  Visiting Lecturer

  Course Module on Machine Learning 1Learning outcomes includes Pre-processing Data, Regression Models, Clustering Models, Classifications Techniques and Association Rule Mining.