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Ha Nguyen

Certified

Data Scientist

MSU

Quantitative detective, solving mysteries and uncovering truths in data.

My Work

Take a look at my latest work.

DataLab

Project: Data-Driven Decisions with A/B Testing

DataLab

Project: Analyzing Unicorn Companies

My Certifications

These are the industry credentials that I’ve earned.

SQL Associate

SQL Associate

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

CoxHealth | Jun 2025 - Aug 2025

Data Analyst

• Led an NLP initiative processing over 11 million physician messages, reducing backlog by 50%. • Developed SQL queries and Power BI dashboards to enhance contact center productivity, saving $100K annually. • Engineered data structures on Microsoft Fabric, optimizing ServiceNow data pipelines and saving 40% in compute units.
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AI VIET NAM | Jan 2025 - Present

AI Researcher

• Conducted systematic literature reviews and co-authored research papers targeting Q1 scientific journals and conferences. • Collaborate with other AI Researchers in Instituion to build AI blog for Vietnamese community to update about - Blog • Designed and validated a deep learning pipeline (ResNet34) to detect mediastinal abnormalities on chest X-rays, applying advanced preprocessing to enhance diagnostic performance. • Built classification pipelines with 2D/3D feature extraction, 5-fold cross- validation, and multi-metric evaluation (Accuracy, ROC-AUC, F1-score, Specificity). • Collaborated with radiologists to semi-supervised annotate 1,000+ MRI scans in 3D Slicer and engineered radiomics features for biomarker discovery. • Conducted an extensive feature importance and selection study across 10+ methods, and benchmarked 16+ machine learning models ( and deep learning models (including ResWin, DiffMIC-v2, and 3D-CNN) for benign–malignant tumor classification. Achieved an AUC of 0.903 and identified key imaging biomarkers, enabling radiologists to accelerate diagnostic decisions by 50%. •Publications & Presentations: o Q1 Journal (Vietnam): Deep Learning Detection of Mediastinal Masses and Thoracic Aortic Aneurysms on Chest X-Rays. o Q1 Radiology Conference: OASIS-Net for Obstetric Adversarial Semi- Supervised Segmentation of Cervical and Fetal Head Ultrasound Imaging.

Missouri State University | Dec 2024 - Present

Graduate Research Assistant

• Led a behavioral finance study on Gen Z & Y investment behavior in Vietnam using Structural Equation Modeling (SEM), analyzing survey data to identify key financial drivers; paper under review. • Collaborated with faculty on high-impact economic research projects, utilizing advanced statistical techniques and machine learning models (e.g., logistic regression, decision trees, clustering) to extract insights and inform evidence- based conclusions. • Partnered with faculty to develop an autonomous driving robotics prototype, embedding YOLO-v2 for real-time object and face detection and an image- to-speech to greet people, showcasing state-of-the-art deep learning applications in the classroom and beyond. • Mentored 30+ students in Python and R for analytics competitions, resulting in significantly improved model performance and multiple hackathon awards. • Achievement: Investment Behavior of Gen Z and Gen Y in Vietnam paper selected for final presentation at the Einhellig Interdisciplinary Forum.

Missouri State University | Aug 2024 - Dec 2024

Research Assistant

• Provided analytical tutoring and technical guidance in Statistics and IT Fundamentals, assisting students in mastering core concepts such as probability theory, hypothesis testing, regression analysis, and data manipulation techniques using tools like Excel, R, and Python. • Supported data science research projects in the area of investment behavior, contributing to data cleaning, exploratory data analysis (EDA), and statistical modeling, while also conducting literature reviews to support hypothesis development and research design. • Collaborated with faculty and student teams to apply data analytics methods for uncovering behavioral patterns and insights, enhancing skills in data storytelling, reproducible research, and data visualization. • Gained experience working with real-world datasets and applying quantitative methods to draw meaningful conclusions—skills directly applicable to modeling workforce trends, evaluating insight initiatives, and supporting data-driven decision-making.

Home Credit Vietnam | Mar 2022 - Jul 2023

Talent Analytics and Development Expert

• Partnered with HR and operations leaders to identify critical talent metrics and translate organizational needs into actionable insights. Designed and recommended data dashboards using Excel and Power BI, streamlining analysis of 10 years’ worth of talent data (500+ insights) and reducing decision-making time by 50%. • Developed predictive analytics models using Supervised Learning and Regression to forecast employee attrition. These insights enhanced 80% accuracy in headcount planning and identified key drivers of employee satisfaction using Principal Component Analysis (PCA), contributing to an NPS score increase to 70. • Collaborated cross-functionally with platform and data teams to scope data requirements, validate sources, and ensure accurate, analyzable datasets for strategic HR initiatives like the Home Racer Program, which boosted the tech talent pipeline by 30% and is now a company flagship. • Designed, maintained, and monitored performance dashboards, ensuring data accuracy, reliability, and user-centric visualizations to support HR and leadership decision-making. • Delivered training and ongoing support to HR stakeholders, ensuring effective dashboard use and encouraging data-driven culture across teams. • Led DEI data initiatives, analyzing employee feedback and diversity metrics to deliver impactful programs that increased employee satisfaction by 20% and grew DEI champions by 50%. Recognized with “The Best DEI Projects” by the Nordic Chamber of Commerce. • Achievements: Received the Global DNA STARs Award (2022) for exemplary leadership and data-driven innovation in talent strategy.

Sun Life | Nov 2021 - Mar 2022

Associate Manager, Talent Development

. • Translated business needs into effective talent development programs – Sun Bright, achieving 100% fulfillment on time, and increasing 20% talent pipeline for senior roles. • Utilize sourcing data and Apply descriptive statistic to select the most efficient recruitment channel to recruit young talents, optimizing cost per hire by 50% compared to the previous year. • Achievement: Spot Award 2022 for Project Management

Shopee | Jun 2020 - Jul 2021

Senior Talent Development Business Partner

• Designed and launched Shopee's first cross-country Learning Management System, enabling a seamless transition to remote. Migrated 100+ courses to online platform with 99% learners’ satisfaction during COVID-19. • Designed the database to effectively collect data on Learning Management System, removing manual data collection and enabling L&D dashboard. This helps increasing trust from business stakeholders into 60% via Internal Customer Centricity survey.

INSEE in Vietnam | Jan 2019 - Jan 2020

Talent Development and Human Resources Business Partner

• Led the implementation of SAP system for HR functions at INSEE, for data- driven talent management. Achieved error-free usage and leveraged analytics for precise evaluations, leading to a 95% improvement in decision accuracy.

INSEE in Vietnam | Jan 2018 - Jan 2019

Talent Development Specialist

N/A

Merck | Jan 2016 - Jan 2018

Talent Development and Reward Specialist

• Managed and optimized a data-driven approach to 100+ training sessions for leadership programs (Ready to Lead, VCLAP), resulting in a 25% improvement in leadership competency scores and a 20% increase in promotion rates within 12 months. • Developed a comprehensive data tracking system for training materials, participation rates, and learning outcomes, which helped identify skill gaps and align training objectives with strategic goals, leading to a 15% reduction in those gaps. • Leveraged advanced analytics to evaluate training impact, improving participant engagement by 30% through targeted adjustments based on feedback and performance metrics. • Collaborated with cross-functional teams to ensure a 90% completion rate of leadership programs, while driving a 10% improvement in employee retention within key leadership pipelines. • Achievements: Excellent Project Awards in 2017 and 2018, Special Achievement Awards in 2018

Hoa Sen University | Jan 2013 - Jan 2016

Leader of Organizational Board of Human Resources Management Branch

N/A

My Education

Take a look at my formal education

Master of Science - MS, Information Technology (Data Science)  ¡ (JanuaryMissouri State University | 2026
Master of Business Administration - MBA, Data Analytics  ¡ (JanuaryMissouri State University | 2025
Applied Lean Six Sigma Practitioner Training for Human Resource Management Professionals Dr. Mikel J Harry Six Sigma Management Institute Asia | 2021
Bachelor's Degree (Honor Award), Human Resources ManagementHoa Sen University (Not for Profit) | 2017

About Me

Data Scientist and Machine Learning Engineer with a strong interdisciplinary background spanning healthcare AI, multimodal machine learning, people analytics, and enterprise systems. Experienced in designing, building, and deploying production-grade

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