Career

Resume

My professional background in data science, machine learning, medical AI research, and business intelligence.

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Data professional with extensive experience spanning machine learning engineering, medical AI research, and senior data analytics. Expert in developing scalable data pipelines, advanced ML models, and business intelligence solutions using Python, SQL, and Power BI to drive multi-million dollar savings, optimize healthcare outcomes, and improve corporate operational efficiency.

Work Experience

Machine Learning Engineer Intern

Coulomb Technology · Remote, USA

Jan 2026 – Present
  • Led end-to-end a tree-based regression pipeline using Python to be identified how material characteristics affect battery performance, increasing energy capacity from 100-120 to 135 mAh/g, saving over $1M in battery manufacturing costs.

AI Researcher

AIMA Research Institution · Remote, USA

Nov 2024 – Present
  • Conducted systematic literature reviews and co-authored research papers targeting Q1 journals and top-tier conferences; collaborated with institutional AI researchers to publish technical blogs.
  • Designed and validated deep learning pipelines (ResNet34) for detecting mediastinal abnormalities on chest X-rays, applying advanced preprocessing techniques to improve diagnostic performance.
  • Led extensive feature selection and model benchmarking studies, evaluating 10+ feature importance methods and 16+ ML/DL models (including ResNet variants, DiffMIC-v2, and 3D CNNs) for benign-malignant tumor classification; achieved AUC=0.903 and enabled radiologists to reduce diagnostic decision time by 50%.

Data Analyst Intern

CoxHealth · Missouri, USA

Jun 2025 – Aug 2025
  • Processed 11M+ physician unstructured text messages using SQL, PySpark, Pytorch and large language models (BERT) to extract radiology procedure requests.
  • Analyzed modality demand-capacity trend by Time Series Analysis and visualized through Power BI dashboards to identify root causes of patient backlogs and revenue leakage, unlocking $1M+ in incremental revenue and reducing patient backlog by 50%.
  • Developed a scalable ETL pipeline on Microsoft Fabric using PySpark and SQL to efficiently process 10TB+ of distributed HDFS data, reducing cloud computing costs by 40%.

Graduate Research Assistant

Missouri State University · Missouri, USA

Aug 2024 – Present
  • Led economic research on investment behavior of 200+ Gen Z and Millennial respondents using logistic regression (scikit-learn) and statistical analysis in R to inform financial literacy policy.
  • Developed and deployed a scalable web application on AWS using EC2, S3, and RDS, resulting in a 30% increase in competition website traffic.
  • Mentored 30+ students in Statistics, Python and R for data competitions, coaching machine learning model optimization that led to multiple hackathon awards.

Senior People Analyst

Home Credit B.C · Ho Chi Minh, Vietnam

Mar 2022 – Jul 2023
  • Developed gradient-boosting regression models to forecast employee tenure based on engagement and performance data, improving headcount planning accuracy by 80% and saving $100M in corporate staffing costs.
  • Owned end-to-end hypothesis-driven A/B tests on recruitment websites and candidate communications that increased applicant volume by 20%, reduced attrition costs by 12%, and improved candidate Net Promoter Score (NPS) to +70.
  • Extracted and analyzed Workday HR data using SQL to diagnose bottlenecks in the technical hiring process and workforce shortage.

Technical Skills

Languages & Query

Python SQL R PySpark DAX

BI & Visualisation

Power BI

ML & Data Science

PyTorch scikit-learn BERT ResNet34

Cloud & Data Engineering

AWS (EC2, S3, RDS) Microsoft Fabric HDFS Snowflake

Education

Master of Science in Data Science

Missouri State University

GPA: 4.0/4.0 · Valedictorian Scholarship

Master of Business Administration

Missouri State University

GPA: 4.0/4.0 · Valedictorian Scholarship

Bachelor Degree of Economics

Hoa Sen University

GPA: 3.6/4.0 · Outstanding Student Scholarship

MBA, Minor: Finance & Data Analysis · GPA 4.0/4.0

Missouri State University, School of Business · Missouri, USA

Valedictorian Scholarship · Beta Sigma Honor Society

Bachelor of Economics · GPA 3.6/4.0

Hoa Sen University · Vietnam

Outstanding Student Scholarship · Dean's List

AI Engineer & Data Science Associate Degree

Artificial Intelligence (AI) Vietnam Institution · Vietnam

Certificates

  • Lean Six Sigma Practitioner — Dr. Mikel J Harry Six Sigma Management Institute Asia (2021)
  • SQL Associate (SQ501P) — DataCamp · Data Management in PostgreSQL, Exploratory Analysis in PostgreSQL
  • Mathematics for Machine Learning and Data Science — DeepLearning.AI
  • Snowflake SnowPro Core Certification In Progress