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Data Analyst Intern / AI Intern (Fresher)

Location:
Quan 1, 71000, Vietnam
Posted:
October 24, 2024

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Resume:

Nguyễn Bảo Chấn

Data Analyst Intern / AI Intern (Fresher)

Dob: 20/04/2002

Gender: Male

Phone: 079*******

Email: *********************@*****.***

Website:

https://www.facebook.com/profile.php?

id=100************&;mibextid=ZbWKwL

Address: 29/5 Tân Quý, Tân Quý Ward, Tân Phú District, Ho Chi Minh City. BACKGROUND/CAREER OBJECTIVES

I am seeking opportunities to work and study in the fields of Data Analysis, Data Science, AI and Computer Vision to further develop my skills and knowledge. With 6 months of experience in Artificial Intelligence

(AI), I am eager to deepen my expertise in this domain. I am enthusiastic about working in a dynamic and innovative environment where I can learn from industry experts and gain hands-on experience. My goal is to leverage my knowledge and experience to develop cutting-edge AI solutions while contributing to the company's success and advancing my personal growth. EDUCATION

2020 - 2024 Ho Chi Minh City University of Industry and Trade Specialization: Data Analyst/ Data Science/ AI

HUIT

WORK EXPERIENCE

02/2024 - Present Wisdom Robotics Company

AI Engineer/ Intern

Project The Drone

• Build a Plan, develop a detailed plan for each phase, Implement, Timeline, Report.

• Read papers to learn and research new technologies.

• Identification, design, environment setup.

• Investigate and delve into Algorithms, Research algorithms used in Path- Planning (Algorithm A*, Algorithm D*, Algorithm D* Lite, Algorithm RRT)

• Research and build RL (Reinforcement Learning) models.

• Study about Computer Graphics, and Computer Vision Geometry books.

• Search, process, clean, handle, analyze, and visualize data. Provide a clear perspective to gain insights from the entire dataset.

• Programming in MATLAB/Simulink and Python.

• Key technologies: Python, path planning, MATLAB/Simulink, RL

(Reinforcement Learning).

SKILLS

AI Machine Learning, Deep Learning, Neural Network, Computer Vision, Algorithms, etc.

Data Analyst • Works with data sets, uses Python for data analysis, utilizes libraries, cleans and visualizes data, and makes judgments and forecasts, etc.

• Use several algorithms in analysis such as: Linear Regression, Logistic Regression, Decision Trees, Random Forest, etc.

• Using libraries in Python for analysis such as: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, SciPy, Plotly, etc.

Data Science Use the python language library, collect and preprocess data, build and tune machine learning models, and evaluate the performance of the models. Big Data Use Ubuntu virtual machine, work with Hadoop, Spark, Apache Cassandra, HBase, Hive, Pig, Apache Flink, Apache Storm, Apache DataFu, etc. Front-end HTML/CSS, Javascript.

Back-end • C/C++, C#, Java, Python, SQL Server, MongoDB.

• Django

• Node.JS ( Express).

• Android programming.

Language Read and understand English documents.

Framework Pytorch

PROJECTS

DESIGNING A WEBSITE TO SELL BOOKS

( May 2022 - June 2022 )

Description project Building interfaces, designing websites for buying and selling books Clink https://github.com/NguyenBaoChan/Giao_dien_Mua_ban_Sach.git Team size 1

Project role Front-end

Technologies used HTML/CSS, JavaScript, Bootstrap, UI/UX Design Main function

CRUD user, search for products, display list of book categories, classify books, product details, Shopping Cart FLOWER CLASSIFICATION

( April 2023 - May 2023 )

Description project Classify images, to tell which type of flower the image belongs to Clink

- Clink: https://github.com/NguyenBaoChan/Phanloaihoa.git

- Dataset: https://www.kaggle.com/datasets/alxmamaev/flowers-recognition Team size 1

Project role Data Analyst/ AI

Technologies used

• Python

• UI/UX Design

• Convolutional Neural Network - CNN

• KNN algorithm

Main function

Apply convolutional neural network (CNN) to classify flower images into 5 different categories (daisy, dandelion, rose, sunflower, tulip) MUSHROOM CLASSIFICATION

( September 2023 - October 2023 )

Description project Classification of edible and inedible mushrooms Clink

- Clink: https://github.com/NguyenBaoChan/Ung_dung_Phan_loai_nam.git

- Dataset: https://www.kaggle.com/datasets/uciml/mushroom-classification Team size 1

Project role Data Analyst/ AI

Technologies used

• Python

• UI/UX Design

• KNN algorithm

• SVM algorithm

Main function

Analyze the data set, use KNN and SVM algorithms to train and test the data set, build an interface for users to enter information, and the results give the probability of predicting whether mushrooms are edible or not.

ACTIVITIES

2023 - 2024 Participate in school-organized Information Technology competitions.

• Participated in exchanges and enhanced academic knowledge for students in the Information.

• Technology Department. Engaged in competitions organized in collaboration with the school and department to improve professional skills.

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