Data Scientist

Schneider Electric Manufacturing Vietnam

Data Transformation Intern

Maintained and developed 2 internal web-applications under guidance of supervisor. Developed 80% of new web application satisfied requirements from Head of Factory and HR Team. Joined Schneider Hackathon for Data Scientists.

Clean, Manipulate and Analysis data from Data Warehouse using SQL. Visualize and Design HR’s competency web-app with .NET framework, Chart.JS and HTML. Web-app front-end development using JQuery, CSS, Bootstrap ETL Pipeline between Data Warehouse and Web-app

Developed and maintained manufacturing applications. Jun 2022 - Mar 2023

+848******** ************.*******@*****.***

@github.com @leetcode.com

Duong Quang Ham St., Go Vap, HCMC, VietNam

NGUYEN CHE TRUNG

EXPERIENCE

International University of Vietnam National University Bachelor of Data Science

EDUCATION

Responsibilities:

Accomplishments:

Top 10 Team Hackathon for Data Science with certification. Programing Languages/Technologies used: Python, C#, .NET, HTML, CSS, JavaScript, Microsoft SQL Server, Github Enterprise

Thesis Graduation Project

Developing a Deep Q-Learning Agent for Vietnam Stock Trading Create automate streaming pipeline from VNDirect to cloud MongoDB using Airflow and Docker. Cleaning, analysis data, applied techniques and indicators. Applied Deep-Q-Learning algorithm to provide action strategy. Develop Flask website for user in order to streaming data and evaluate model. Programing Languages/Technologies used: Python, PyTorch, Flask, API, MongoDB, Airflow, Docker, HTML, Github

PROJECTS

HCMC, Vietnam

Relevant Coursework: Object-Oriented Programming, Object-Oriented Analysis and Design, Algorithms & Data Structures, Data Analysis, Data Science and Data Visualization, Analytics for Observational Data, Introduction to Artificial Intelligence, Introduction to Data Mining, Scalable and Distributed Computing, Fundamentals of Big Data Technology.

HCMC, Vietnam

Design python UI with PyQT:

Use PyQt to create and design UI, demonstrate user UI in Users Privacy Protection Scheme in Location Based Services.

Programing Languages/Technologies used: Python, PyQT, Github References are available on request.

STRENGTHS AND EXPERTISE

Technical Skills: Data Analysis, Data Visualization, Machine Learning, Problem Solving, Algorithms, Competitive Programming.

Programing Languages: Proficiency at Python. Can use C#, Java, VBA. Databases: SQL Server, MySQL, MongoDB.

Frameworks: PyTorch, Scikit-learn, Keras, .NET, Flask. Tools: Git, VS Code, MS Power BI, MS PowerPoint, MS Excel, MS Word, Spreadsheet. Certifications & Training: Python, SQL (Intermediate) Crawling data from website:

Crawl data from "Tiki", “diemthi.hcm.edu.vn” website for self-learning purpose, especially in data preparation, manipulation, cleaning raw data, handle missing data. Create data pipeline to MySQL.

Visualize data to find data insights.

Programing Languages/Technologies used: Python, Selenium, BeautifulSoup, PowerShell Create automation invoice generator with Excel

End-user input information for invoice with formatted excel file. Function to export Invoice PDF file.

Automated send email with formatted email template to customers when user clicked function button.

Programing Languages/Technologies used: VBA, MS Excel LANGUAGE

English (IELTS 6.5), Vietnamese (Native)

Power BI Projects

Use Power Query Editor to transform, clean raw data. Use Power Query M Language to add custom conditional formatting. Use DAX Query to create measure, query model and render reports Programing Languages/Technologies used: DAX, M Language Portfolio: Google Drive

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