Phan Hung Thinh
Data Science & Analytics Professional
Passionate about transforming complex data into actionable insights that drive strategic decisions. With expertise in machine learning, statistical analysis, and data visualization, I help businesses unlock the power of their data to solve real-world problems.
About Me
"Nothing Changes if Nothing Changes"
With 2+ years of experience across startups and large companies, I am dedicated to leveraging data to create meaningful business value. I enjoy collaborating with diverse teams and am committed to delivering practical, data-driven solutions that support organizational growth and innovation.
Skills & Expertise
Programming Languages
Data Analysis & Visualization
Machine Learning
Tools & Platforms
Education
Academic foundation in data science and analytics
Bachelor of Data Science
International University - VNU HCMC
Graduated with a strong foundation in statistical analysis, machine learning, and data visualization. Completed comprehensive coursework in data mining, predictive modeling, and business intelligence with hands-on experience in real-world projects.
Key Coursework & Skills
Featured Projects
Showcasing my data science and analytics work
Customer Journey - Production ML Pipeline
End-to-end production-ready churn prevention pipeline combining BG/NBD churn prediction, ALS/Item2Vec/Two-Tower retrieval, NeuMF ranking, and LLM reranking for personalized product recommendations.
GMV Forecasting - Production ML Pipeline
Production-ready ML pipeline with full lifecycle implementation: data preparation, model training (SARIMAX + Prophet hybrid), API deployment, and monitoring with MLflow, Docker, and Prometheus.
E-commerce Data Pipeline & Analytics Platform
Complete end-to-end data engineering solution with ETL pipelines, data warehousing, and analytics capabilities for an e-commerce platform.
Animal Classification - Production ML Pipeline
Production-ready image classification system using CNNs and Transfer Learning with complete MLOps infrastructure: model training (ResNet-50, Custom CNNs), API deployment, and monitoring with MLflow and Docker.
Work Experience
My professional journey
Data Scientist
Eplus Reseach
Jan 2026 - Current
- Pharmacy Potential Scoring & Strategic Segmentation: Developed a robust scoring engine to segment 12,000+ pharmacies. By identifying high-value clusters, the model optimized sales resource allocation by 15%, shifting focus toward top-tier leads and significantly increasing acquisition efficiency through tailored commercial strategies.
- Automated Vaccine Recommendation Engine: Architected a behavioral recommendation model for VNVC voucher holders, which predicts and suggests the most relevant "next-dose" vaccines. This automated personalization increased voucher redemption rates by 5% through targeted SMS triggers.
- Sales Force Effectiveness Diagnostic: Conducted comprehensive diagnostic analytics on pharmaceutical representative routing and performance. Identified that supervisor visits yielded a 23% higher conversion rate than solo visits, leading to a restructured supervision strategy that improved overall field productivity by 35%.
Data Analyst
Grab
Nov 2023 - Jan 2026
- Machine Learning & Forecasting: Developed machine learning models in Databricks to enhance operational decision-making. Delivered a driver safety gear classification model (e.g., detecting missing equipment) with ~92% precision, and a GMV forecasting model with ~4% MAPE. Outputs were automated and integrated into internal data systems for business visibility.
- Data Engineering & Automation: Developed and scheduled data pipelines in Databricks using SQL (Presto/Trino), PySpark, and Python to streamline reporting and analytics. Automated workflows to support high-volume data processes and reduce manual intervention.
- Data Quality & Reliability: Implemented robust data quality checks and source validation mechanisms, significantly improving consistency and reducing the need for manual preprocessing in downstream workflows.
- Data Visualization & Reporting: Designed Power BI dashboards for regional performance reviews, enabling data-driven decisions across teams. Enhanced reporting efficiency by automating processes, reducing manual effort by over 70%.
- Cross-functional Collaboration: Partnered with Finance, Operations, and Strategy teams to identify challenges and deliver impactful data solutions (ad-hoc analyses, insights, and dashboards).
Data Science Intern
Unilever
Oct - Nov 2023
- Built machine learning models for demand sensing to improve sales forecast accuracy.
- Engineered time series features and evaluated model performance using real-world FMCG data.
Data Science Internship
FWD Insurance
Jun - Aug 2023
- Supported the development of machine learning models to detect potential claim fraud.
- Built dashboards in Power BI and conducted EDA on claims data to support underwriting decisions.
Data Analyst Intern
Logivan
Jun - Dec 2022
- Built dashboards in Holistics (BI Platform) for shipment tracking and partner performance.
- Analyzed logistics data to improve route efficiency and reduce delivery delays.
Certificates
Professional certifications and continuous learning
Get In Touch
Let's discuss how data can drive your business forward
Location
Ho Chi Minh City, Vietnam
Phone
+84 398 035 345
Resume
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