Looking to apply their Data and AI skills to challenging projects. Proven ability to learn quickly and deliver impactful results in a fast-paced work environment. Seeking opportunities to grow and contribute to cutting-edge AI technology.
- Bachelor degree in Data Science --- International University (HCMIU)
- Relevant coursework: Machine Learning, Deep Learning, AI, Data Mining, Data Structures and Algorithms, Statistical Method, Big Data Technology, Database Management, Data Analysis, Data Science and Data Visualization, Analytics for Observational Data.
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Finance AI & Automation Intern ----- July 2025 - September 2025
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BW Industrial
- Automated tax notice processing across 154 subsidiaries, reducing email handling time by 90%.
- Built OCR-based data pipelines to centralize 98 bank accounts from 14 banks, cutting reconciliation effort by 50%.
- Developed a variance analysis system with 13 correlation rules, generating automated anomaly reports with 80% precision.
- Integrated AI-powered solutions (GPT, Claude, Copilot) to enhance finance workflows and decision support.
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Data Processing Specialist ----- December 2024 - Present
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AppSense Medicaid, Oklahoma City, Oklahoma, US (Remote)
- Entry and Process Data from Woundynamics to AppSense Production
- Work with Document AI on Google Cloud Platform to build a processor that automatically extracts data
- Take over the coding for cloud function.
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Teaching Assistant (Analytics for Observational Data) -------- September 2024 – January 2025
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INTERNATIONAL UNIVERSITY (IU) – VNU HCMC, Thu Duc, Ho Chi Minh City
- Assist teacher in lecturing, explaining concepts and demonstrating techniques related to data, preparing materials, giving presentations.
- Assist in grading assignments, projects, and tests.
- Guide students in lab sessions using Python.
- Progamming Languages: Python (Advanced), SQL, R, Java(Basic)
- Visualization: PowerBI, Python (Seaborn, Matplotlib, Flask, Streamlit), JavaScript (D3.js)
- Machine Learning: Classification, Regression, Clustering, Time-Series, Association Rule.. (skicit-learn)
- Deep Learning: CNN, RNN, LSTM... (Tensorflow, PyTorch, Keras)
- Recommendation System: Segtiment Analysis
- Natural Language Processing: (NLTK, Hugging Face Transformers)
- Computer Vision: (OpenCV, CNN model, Yolo, SAM)
- Data preprocessing & Feature Engineering: to understand the business insight (pandas, NumPy, SciPy)
- Big Data: PySpark, Docker, Apache (Kafka, Spark, HDFS)
- Mathematics: Calculus, Linear Algebra, Probability and Statistics
- Cloud: Google Cloud Platform
- Others: Microsoft Office, Problem Solving Skills, Critical Thinking, Git
- Fashion Recommendation System via Sequence Mining on Social Media
- Streaming-Fraud-Detection
- Stock-Price-Forecasting-System-Using-Apache-Spark
- Toxic Comment Detection
- Predicting Term Deposit Suscription
- Customer-Segementation-Analysis
- Online Ordering Pizza System
- Google Data Analytics Professional Certificate
- Data Visualization with Python (IBM)
- Machine Learning with Python (IBM)
- SQL Hackerrank (Advanced)
- LinkedIn: LinkedIn Profile
- Email: Email Address
- Github: Github