[0]
Churn Prediction Pipeline
End-to-end pipeline that scores customer churn risk weekly, with automated retraining and drift monitoring built in.
Full-Stack Data
I turn messy data into models that ship.
I build scalable data pipelines, design reliable data workflows, and transform raw data into meaningful insights. I specialize in data engineering, ETL processes, database systems, and analytics solutions that help organizations make better decisions.
[ ] Projects
[1]
Real-Time Fraud Detection
Streaming feature computation over a Kafka pipeline feeding a low-latency inference service for transaction scoring.
[2]
Semantic Document Search
Vector-embedding retrieval system with a reranking stage, cutting average search-to-answer time by half.
[3]
Climate Time-Series Forecasting
Probabilistic forecasting models with calibrated uncertainty bands, used for regional planning scenarios.
Skills
# languages
# data_engineering
# databases
# data_modeling
# visualization_bi
# tools_platforms
Resume
A quick summary below — or grab the full PDF.
Download PDF ↓Apr 2026 — Present
Data Systems & Database Engineer (Contributor), Fundlok
- Designed and maintained the PostgreSQL schema (ERD/data model) for financial transaction systems, including normalization, relationship design, and indexing strategies.
- Handled database optimization — query tuning and performance improvements for transaction-heavy workloads.
- Built and maintained CI/CD pipelines with GitHub Actions, supporting automated quality checks, testing, and deployment.
- Collaborated with developers to keep backend–database integration consistent across services and environments, improving system reliability and database change management.
Mar 2026 — Present
Performance & Commercial Coordinator (Internship), ECOM | Ezcloud
- Built and maintained Power BI dashboards tracking hotel e-commerce performance across OTAs, enabling faster, more data-driven commercial decisions.
- Analyzed booking, revenue, and promotion data to surface performance gaps and optimization opportunities, supporting pricing decisions and suggested actions.
- Contributed to a 30M VND revenue uplift, exceeding target by 7% (400M VND vs. 373M VND target).
Nov 2025 — Feb 2026
Data Engineering Intern / BI Support, VNPT
- Supported and observed a data workflow built on Apache NiFi, assisting with basic configuration and monitoring of batch data flows.
- Assisted with data validation and quality checking to ensure consistency and accuracy of processed datasets.
- Supported data transformation and preparation for reporting and downstream analytics use cases.
- Built Power BI dashboards to visualize operational KPIs such as report volume, processing status, and resolution time.
Education
- B.S. in Statistics — Lakeshore University, 2019
Certifications
- Google Data Analytics
- Databricks Data Engineer — in progress
Additional Technical Training (Self-directed)
- Core CS foundations: C++, Data Structures & Algorithms
- Database fundamentals & distributed systems
- Mathematics for Machine Learning
- Applied data engineering practices
Languages
- English — Upper-intermediate
- Vietnamese — Native