Jia Hao Lo

Experience

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  Lehigh University

  Aug 2017 - Dec 2017

  Exchange Student
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  Web Structures

  May 2019 - Dec 2019

  Engineering Intern
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  PETRONAS

  Nov 2020 - Jul 2021

  Data Science On-Job Training

  • Performed customer segmentation of two depots into three tiers based on customers’ lifetime value using K-Means and Gaussian Mixture Model clustering methods. • Used Logistic Regression, XGBoost and LightGBM to identify and predict upsell and churned customers, models achieved 90% recall.• Facilitated communications of meaningful insights for five departments by creating multiple descriptive analytics, data visualizations and dashboards using Microsoft Power BI.

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  Greenwich.HR

  Oct 2021 - Dec 2021

  Data Science Graduate Consultant

  • Imported labor market data into PostgreSQL Database, carried out data preprocessing, exploratory data analysis and data visualization of labor market using SQL and Python.• Predicted real estate metrics including median listing price for selected cities based on local job market and achieved 0.8 R2 with baseline model.

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  ABC Supply Co. Inc.

  Oct 2021 - Jun 2022

  Data Science Graduate Consultant

  • Executing data cleansing, analysis of credit patterns across different branches and algorithm identification based on customers’ application and behavioral data.• Maximizing profit margin and reducing credit risk by building machine learning models (logistic regression, gradient boosted trees) to predict customers’ probability of default and credit limits.

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  BillionToOne

  Jun 2022 - Aug 2022

  Data Science Intern

  • Carried out extract, load, transform (ELT) of data using Stitch and dbt to create data models in data warehouse based on Star Schema.• Built decision tree models to identify key features that influence short-term activation and long-term retention of customers’ accounts, models achieved 70% F1-score.• Developed and owned multiple Tableau dashboards which display and alert for laboratory anomalies, potentially reduced hundreds of hours of turnaround time for each kit.

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  PETRONAS Digital Sdn Bhd

  Feb 2023 - now

  Executive (Data Science)