Data Scientist

TRAN NHAN KHANH

+84-961****** • ***.*****.****@*****.*** • linkedin.com/in/tnk29 • khartist.github.io EDUCATION

B.E., Computer Science (Japanese Enhancement Program) Graduating 2025 (estimated) Ho Chi Minh University of Technology - VNUHCM, Ho Chi Minh, Vietnam GPA: 3.2 Relevant coursework: Database Systems, Discrete Structures for Computer Science, Probability & Statistics, Linear Algebra, Calculus, Data Structures and Algorithms, Introduction to Artificial Intelligence, Machine Learning. TECHNICAL SKILLS

Programming Languages: Python, C/C++, R

Framework & Library: PyTorch, Keras, Matplotlib, Scikit-learn, Seaborn, Pandas Tools: git, latex, Markdown, Visual Studio Code, Jupyter Notebook, MySQL, MongoDB RESEARCH

BERT-based model for Vietnamese Fact Verification Dataset October 2023 - Present Contributed to a team of 6 in developing a machine learning model for fact verification

• Read research papers to figure out the idea to solve the problem.

• Developed the abstract and results section of a research paper. PROJECTS

Stocks price prediction using LSTM March 2024

Analyzed the data and built a machine learning model to predict VIC, MSN, FPT, PNJ stock price changes

• Resampled the data into 1-day, filled the missing data with Time Interpolation method, and performed Exploration Data Analysis on the dataset.

• Tried Moving Average Analysis with 7-day sliding window to predict the prices changes.

• Built a LSTM model with 30-day sliding window and got MAE = 1.37, better than the Moving Average baseline. Tiki Headphone Sales Analysis Feburary 2024

Analyzed the data and built machine learning models to figure out the sales number of a product

• Crawled 634 data records from the website using Tiki’s API.

• Used Matplotlib and Seaborn to plot the data and find out top 5 best selling brands, average rating by brands, discount rate by brands.

• Built models to figure the number of sales of a product using Linear Regression and Random Forest algorithm. Face Recognition Program March 2023 - May 2023

Collaborated in a team of 2 to design a neural network that recognize faces of Vietnamese with a accuracy of 99%.

• Performed exploration data analysis to find the characteristics of the dataset with over 4000 records.

• Deployed a demo that user can upload a photo to test the face regconition function on HuggingFace platform using gradio library.

WORK EXPERIENCE

VUS, Ho Chi Minh, Vietnam: Teaching Assistant January 2023 - January 2024

• Taught DIGIdation (Game Programming with HatchXR) to over 30 Primary School Students, DIGIconnect (Web Programming with HTML, CSS, JavaScript) to over 50 High School Students. EXTRACURRICULAR ACTIVITIES

STEAM for Vietnam October 2023 - Present

Robotics Teaching Assistant Volunteer

• Taught VEX IQ Programming (CS201) and VEX EXP/V5 Programming (CS202) with Python to over 100 students. LANGUAGES

Vietnamese: Native speaker

English: Full professional proficiency (IETLS 7.0) Japanese: Elementary proficiency (JLPT N3)

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