Summary
Overview
Work History
Education
Skills
Certification
Languages
Websites
Timeline
Generic

LONH SENGLY

Phnom Penh

Summary

Analytical and result-driven Data Scientist with nearly 5 years of experience in banking and telecommunications. Specialized in predictive modeling, machine learning, churn analysis, and time-series forecasting. Adept at leading data science projects from development to deployment. Proven track record in designing scalable data pipelines, automating processes, and delivering actionable insights to support executive decision-making.

Overview

5
5
years of professional experience
1
1
Certification

Work History

Manager, Business Analytics

Sathapana Bank
Phnom Penh
07.2023 - 05.2025
  • Loan Segmentation: Analyzed data points and loan types to identify patterns and insights. Developed predictive use cases to support the finance department and stakeholders.
  • NPL Impact Analysis: Conducted studies to measure the impact of NPL rate increases. Identified root causes related to policy changes through data analysis.
  • End to end of Loan Journey Prediction: Developed three models (prevention, early detection, recovery) to monitor loan statuses. Safeguarded customers by predicting repayment behaviors before reaching NPL status. Automate the pipeline, monitor model performance, and present results on dashboards for easy access to stakeholders.
  • Loan Growth Forecast: Utilized time series and machine learning techniques to forecast loan growth. Enhanced bank fund management through accurate growth predictions.
  • Deposit Growth Forecast: Applied time series and machine learning methods to predict deposit growth across segments. Provided valuable insights for bank fund management.
  • Collaboration: Worked closely with the MIS team to ensure data quality and availability. Understood business requirements from stakeholders and initiated analytics use cases to address gaps to drive business growth. Introduced analytics solutions to the internal team, fostering a data-driven culture.

Data Analytics and Modeling Lead

Cellcard
Phnom Penh
02.2022 - 04.2023
  • Responsible for leading the analytics team, drafting and developing an analytics road map that aligns with the customer journey and churn retention, collaborating with MIS and IT teams on data enrichments, setting up and monitoring an environment that enables the team to process a huge amount of data, and researching new analytical and predictive techniques.
  • Focusing on survivor analysis, which determines the lifeline of subscribers at different stages in relation to churn, prescribes the right churn campaigns and helps understand subscribers' cost value.
  • Created a whole base behavioral segmentation that drives insights for multiple functional teams to understand groups of subscribers, design fitted products, and target customized offers for subscribers.
  • Join forces with the network team to build an automated process that monitors network site anomalies that can impact customer experience, enables the sales team to target the right locations, and provides insights into subscriber movement and future network site planning.
  • Leading and guiding the team on the multi-sim users project, providing feedback on the approaches, and offering business concepts and emotional support.
  • Working with the customer experience team to gather call information, the CLM team on their campaign results information, the network team on their core network information, and the digital team on their app clicks information—along with the MIS and IT teams to build and pave the way for future data enrichments.

Data Modeling Specialist

Cellcard
Phnom Penh
08.2020 - 01.2022
  • Scrapped insights on the rotational churn and delivered results to relevant stakeholders for action points.
  • Idealized concepts, developed processes, tested, and automated a compact predictive model that determined new subscribers' life stages in the network, enabling immediate rescue.
  • Created an end-to-end segmentation framework and model with details of processes and documents on youth and non-youth on the network base. Prepared hardware, environment, and pipeline of the data flow; mined insights; tested and validated various modeling techniques and algorithms using open-source and AWS ML packages to deliver a robust and scalable project.
  • Tracked and presented results to relevant stakeholders and C-level executives, with recommendations based on facts and data.
  • Extracted data from the database, created stored procedures, and prepared data for analysis and ML.
  • Executed digital campaigns, monitored take-up, validated business cases and offers, and created campaign journeys and flows in a customer engagement platform - MoEngage.

Education

Bachelor of Science - Statistics, Mathematics and Computer Science

Bangalore University
Bangalore, India
07.2019

Skills

  • Programming and data: Python, SQL, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn
  • ML and modeling: forecasting, classification, regression, segmentation, survival analysis, A/B testing
  • Cloud and MLOps: AWS ML
  • BI and visualization: Power BI and dashboard automation
  • Collaboration: cross-functional teams, agile projects, stakeholder communication

Certification

  • Certified Data Scientist, DataU Academy, Phnom Penh, Phnom Penh, Cambodia, 02-01-20, 07-31-20
  • Full Stack Data Science with AI and ML, DataU Academy, Phnom Penh, Cambodia, 07-01-22, 07-31-23
  • 360 Data Science Program, AnalytixLab, 11-01-21, 01-31-22
  • Data Science Program, AnalytixLab, 01-01-21, 04-30-21

Languages

Cambodian
First Language
English
Advanced (C1)
C1

Timeline

Manager, Business Analytics

Sathapana Bank
07.2023 - 05.2025

Data Analytics and Modeling Lead

Cellcard
02.2022 - 04.2023

Data Modeling Specialist

Cellcard
08.2020 - 01.2022

Bachelor of Science - Statistics, Mathematics and Computer Science

Bangalore University

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