Hi, I am Cap Huu Anh Tri
Data Engineer
I am a fourth-year University of Information Technology (UIT), VNU-HCM student. I'm passionate about working with data and am currently seeking a Data Engineer position.
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caphatriAbout Me
Hi, I'm Cap Huu Anh Tri
As a fourth-year Computer Science student with a solid foundation in Data Engineering and Big Data technologies, I am eager to secure an internship where I can apply my skills. Though lacking practical experience, I am hardworking, willing to learn, and dedicated to contributing effectively to the team.
Birthday
October 7, 2003Address
Ho Chi Minh CityObjective
Short - term:
Secure an internship as a Data Engineer to gain hands-on experience and apply my knowledge to real-world projects
Long - term:
Develop into a proficient Data Engineer, mastering advanced tools and contributing to impactful data-driven initiatives.
My Skills
Programming Languages
Database Management
Big Data
Python
90%SQL
80%JavaScript
50%MySQL
80%PostgreSQL
50%Apache Hadoop
50%PySpark
50%Kafka
70%Apache Airflow
50%Other Skills
Visualization
Use Apache Superset and Power BI to Visualization
from different
source like Microsoft Excel, SQL sever.
Microsoft Excel
Use Microsoft Excel competently, specially Pivot Table and Power Querry .
Web Scraping
Use BeaufiulSoup and
Selenium to get data from different source .
Docker
Use Docker to create, deploy, and manage containerized applications.
Machine Learning
Linear Regression, Logistic Regression, Naive Bayes, SVM, XGBoost, K-Mean, PCA.
Report
Use Overleaf to create
well-structured and professional reports.
I have good communication skills and effective teamwork abilities.
I manage time effectively and have strong analytical, problem-solving skills.
Qualification
Experience
Updating ...
Education
University of Information Technology (UIT), VNU-HCM
Computer Science
GPA: 8.07/10 (3.23/4.0)
2021 - 2024 (Expected)Project
Automated ETL and Visualization of Premier League Match Results
Automated ETL and Visualization of Premier League Match Results.
Utilize ETL to extract match results for analysis and visualization.
- Web Srapy: Using BeautifulSoup to get data from EPL source, store in MySQL as datalake.
- Automated ETL Pipeline: Using Apache Airflow to automate the process of collecting data into MySQL, extracting it from MySQL, transforming into a usable format, and loading into a PostgreSQL database. After that, using Smtplib to email about results.
- Data Visualization: Leveraging Apache Superset to create interactive dashboards and visualizations for analyzing Premier League match results.
- Docker Compose Setup: Streamlines deployment and management of services including Apache Airflow, PostgreSQL, Redis, MySQL, and Apache Superset.
- Technologies used: Python, BeautifulSoup, MySQL, Apache Airflow, Smtplib, PostgreSQL, Docker. View Detail
Real time Anomaly Detection In Web Server
Real time Anomaly Detection In Web Server
Real-time detection and visualization of anomalies in web server logs.
- Real-time Data Ingestion: Stream web server logs from MySQL using Apache Kafka.
- Efficient Storage: Use Apache Pinot for storing and querying time series data.
- Anomaly Detection: Implement a machine learning model (Autoencoder with Regression Model) to predict anomalies.
- Interactive Visualization: Display results and insights using Streamlit.
- Docker Compose Setup: Streamlines deployment and management of services including Apache Kafka, Apache Pinot, Streamlit, and MySQL.
- Technologies used: Python, MySQL, Apache Kafka, Apache Pinot, Streamlit, Docker View Detail
Booking medicine Web application project
Booking medicine Web application project
Create an online prescription system
- Web App Design: Design admin and user interfaces for online prescription booking .
- UI Development: Build interfaces using ReactJS for a modern user experience.
- Database Setup: Establish a MySQL database to store prescription data efficiently.
- Backend Implementation: Develop backend functionality using the Express framework and RESTful APIs
- Technologies used: JavaScripts, MySQL, ReactJS, NodeJS, RESTful APIs, Express framework View Detail
Recommended Topic Hashtags
Recommended Topic Hashtags
Create an automated labeling system for Facebook posts (about ML and DS)
- Data Collection: Utilize Selenium to crawl Facebook posts data .
- Data Preprocessing and Labeling: Preprocess the data and assign labels to each post based on predefined hashtags using Pandas.
- Model Training: Train Machine Learning models using TF-IDF and Bag of Words . Evaluate and select the best-performing model.
- Demo: Create a user-friendly interface with Streamlit that can automated labeling Facebook post
- Technologies used: Python, Machine Learning, Streamlit, Selenium, Sklearn View Detail
App for tecnology & services
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- Created - 4 dec 2020
- Technologies - html css
- Role - frontend
- View - www.domain.com
Achievements
TOEIC Certificate by IIG VietNam
