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Hello

I'm Andrew

Data Scientist and Machine Learning Engineer

Hi, I’m Andrew Lee, a solution-oriented Data Scientist with a dedicated experience as a Statistician. Passionate about automating data-informed decision makings through the power of machine learning. I have a deep understanding of building and deploying ML models, as well as statistical theories, and am excited to unlock the value of your data!

Skills and Certificates

Programming Languages:
Python, R, SQL
Machine Learning Frameworks:
Tensorflow, XGBoost, Scikit-learn, LIME, SHAP, PySpark
Cloud Computing:
Google Cloud Platform, Azure
Machine Learning Algorithms:
Deep Learning, Gradient Boosting, K-nearest Neighbors, K-means Clustering
Statistical Models:
Linear Regression, GLM, GAM, Experimental Designs, Bayesian Approach

Selected Projects

My Experience

  • Statistician II/III

  • Feb 2022 - Apr 2022

    Novavax

    Provided statistical support for the development and approval of the COVID-19 vaccine. Conducted experimental designs and analysis for vaccine stability controls. Created work instructions, which has been used to train non-statisticians.

  • Statistician

  • Jun 2020 - Dec 2021

    Abbott Labs

    Performed statistical analysis to achieve reapproval of the In Vitro Diagnostics Regulations. Reproducibility, Precision, and Stability analysis on diagnostic assays using R programming. Created a Power BI dashboard to organize and manage analysis tasks for the team. Contributed to achieving IVDR reapproval as a team.

  • Intern

  • Feb 2018 - Jun 2018

    GfK Retail and Technology

    Created an automated data cleansing program to track Point of Sales data, using R. Assisted to create monthly market reports for stakeholders.

  • Jul 2016 - Aug 2016

    SAS Institute

    Participated in a text mining project from a key client. Parsed and cleaned over 10,000 customer reviews, using SAS Enterprise Guide. Extracted key insignts from data and assisted presentation for solution sales.