*************@*****.***
TRAN VAN HOANG
Data Scientist / Data Analyst
Website: https://hoangftran.github.io/
github.com/hoangftran
linkedin.com/in/hoang-tran-4339b4213
Innovative Data Scientist / Data Analyst / Machine Learning Engineer with experience in Data Analysis skills and the ability to build components for collecting, cleaning, and processing a large amount of data. Be able to create dashboards and analysis reports to monitor performance metrics. I also have experience in applying state-of-the-art Machine Learning and Deep Learning algorithms and techniques to solve Natural Language Processing problems. TECHNICAL SKILLS
Programming languages Python, SQL
Frameworks Pytorch, Tensorflow, Scikit-learn
Tools Git/Github, Jupyter Notebook, Power BI, Azure Communication Vietnamese (native), English (IELTS 6.5 overall) PROFESSIONAL EXPERIENCE
AI Engineer Oct 2021 — Present
TMT Solutions
• Design and implement well-engineered, easy-to-maintain, reliable, and bug-free code for NLP projects in collaboration with other AI Engineers.
• Fine-tune a Transformer architecture based language model (PhoBERT) for Sentence Boundary Detection task using Pytorch.
• Research and implement a Spell-checking system to correct common Vietnamese misspelling errors using Pytorch. Data Scientist Intern Feb 2020 — Feb 2021
FPT Telecom
• Design and build backend for FPT Telecom Chatbot with 60 percent of customer support rate over 10000 customer per month using Flask API.
• Implement intent classification and entity extraction model with 0.993 accuracy using Rasa framework.
• Track and analyze the performance of Chatbot using Jupyter Notebook and Power BI. EDUCATION
Bachelor of Engineering, University of Information Technology Sep 2016 — Aug 2021
• Advanced program in Information Systems
• In-major GPA : 3.60
PET PROJECTS
Chatbot for UIT Fanpage
• Build a chatbot for UIT Facebook page that help students at UIT to search information about their time table, tuition and allow students to report their problems while studying at UIT.
• Link to Github
MOMO Recommendation System
• Implement recommendation model to recommend Mshop based on user’s history and references using ALS algorithm on Spark and build backend using Flask API. misspelling errors using Pytorch.
• Link to Github
ACTIVITIES AND CERTIfiCATES
Dataquest, Data Scientist Path 2021
VEF Academy, Data Analytics Course 2020
Facebook Developer Circles VietNam Innovation Challenge, Data Scientist Track 2019