Data Science Intership (AI, Machine Learning, Deep Learning)

Work Experience

September **** -Data Scientist UIT - VNUHCM

Present

• Working as a teaching assistant for a few specialized subjects: Sta- tistical Machine Learning, Data Analysis and Visualization.

• Presented several talks on Machine Learning project at University Young Science Conference.

August 2020 - Machine Learning Engrineer Officience VṄ November 2020

• Crawled, optimized crawling process and pre-processed data.

• Cleaned and wrangled raw data on a database using Pandas

• Visualized data using Matplotlib, Seaborn and PySpark

• Trained Machine Learning model with highly practical application problems such as: SMS spam, label classification Research Experience

March 2021 - Research Assistant UIT - VNUHCM

Present Thesis: Computer Vision in Data Science

• Research on algorithms in computer vision such as CNN, VGG16, Alexnet, Caffe and Vehicle Communication.

• Tools: Python, pandas, scikit-learn, tensorflow, roboflow. Project

September 2020 -Vietnam Vehicles Detection and Tracking Project source June 2021

• Simultaneous detection and tracking of multiple traffic objects for smart city projects in Vietnam traffic data.

• Technology: Python YOLO Faster R-CNN DeepSort . June 2021 - Sentiment Analysis Realtime Based-on Spark Project source July 2021

• Predict viewers’ feelings about a movie on IMDB, to rate it as great or bad with real-time continuous review comments.

• Technology: Python Spark Logistic Regression Streaming Data

.

April 2021 - Aspect based Sentiment Analysis Restaurant Vietnam Project source June 2021

• Successfully building the project with 2 tasks, Aspect Category De- tection and Aspect Polarity Classification, achieved the best results on the PhoBERT model with the accuracy of 88% and 83%.

• Technology: Python SVM Text-CNN PhoBERT.

December 2020 - Analysis Food Tet Holidays Data - Classification of food Project source January 2021

• Classification models and deployed web app machine learning.

• Technology: Python Scikit-learn Matplotlib/Seaborn. April 2020 Web Covid19-data Scraping from the Worldometers Project source

• Technology: Python Scrapy InfluxDB.

Publications

Dinh-Tu Vo and my associates, “Xây Dựng Bộ Dữ Liệu UIT-DET Cho Hệ Thống Giám Sát Giao Thông Trong Thành Phố Thông Minh”, 2021 10th CITA National Conference on Information Technology and Its Applications (Accepted) Languages

Vietnamese: Mothertongue

English:Reading, Writing: Intermediate; Listening, Speaking: Basic DINH TU VO

Data Scientist

+84-332******

facebook.com/dinhtu44/

adn3g3@r.postjobfree.com

/in/tu-vo-7984581a8/

dinhtu44

Technical Skills

Overview

Data

Science

Deep

Learning

Data

Analysis

Machine

Learning

Computer

Vision

Programming

Programming Language: Python, C/C++,

SQL (Postgre), R

Machine Learning:Supervised and Un-

supervised machine learning algorithms

Deep LearningFrameworks: Scikit-learn,

Keras, Tensorflow

Natural Language Processing: Basic

Computer Vision: Intermediate

DataAnalysisandVisualizationFrame-

works: Pandas/Dask/Ray/Modin, Mat-

plotlib/Seaborn, Scipy, Numpy

BigData: Hadoop, Apache Spark

Document Creation: Microsoft Office

Suite, LaTeX, Markdown

Education

Data Science (GPA: 3.5/4.0)

VNUHCM - University of Information Tech-

nology

2018 - 2022 HCM, Viet Nam

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