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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

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