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Hello, I'm Trent.

About me

I'm a passionate software engineer and data enthusiast. With a Master's in Statistics and a wealth of experience in web development, Python, and JavaScript, I'm dedicated to crafting innovative solutions and creating engaging web experiences. I thrive on challenges and enjoy pushing the boundaries of what's possible in the digital realm.When I'm not immersed in lines of code, you'll find me exploring the worlds of art, music, and, of course, technology. Join me on this exciting journey of exploration and creation!

My skills

Amazon Web Services
Bootstrap
CSS
Django
Docker
Firebase
Flask
Framer Motion
ggplot2
Git
GitHub
GitLab
Google Cloud Platform
HTML
JavaScript
Linux
Matplotlib
MongoDB
MySQL
Neo4j
Next.js
Node.js
OpenCV
Python
Plotly
Pytorch
React
R
scikit-learn
seaborn
Tailwind CSS
TypeScript
VS Code

My projects and research

BeatMap

A startup website which utilizes location and spotify music data to visualize and share music preferences around the world. (Support for Apple Music In Progress)

React
Next.js
TypeScript
MongoDB
Tailwind
Framer Motion
Leaflet

Movie!

A Movie website provides a seamless user experience for exploring and interacting with a vast collection of films.

React
JavaScript
Bootstrap
Firebase
MySQL

Real-time Human Face Detection

Trained deep learning models and constructed pipeline to detect human face and facial masks in both static images and webcam video stream.

CNN
AI/ML
Deep Learning
Computer Vision
Pytorch
Python

Spatial COVID-19 Prediction

A research provides insights into the spatial patterns and dependencies underlying the spread of COVID-19.

Python
GeoPandas
Matplotlib
Data Analysis
GeoStat
Regression

Spotify Trending Music Analysis

Unearth the underlying factors that contribute to a song's popularity and chart-topping potential with data from the Spotify Music Data API.

R
ggplot2
xgboost
Random Forest
KNN
Data Analysis
Machine Learning

Work and Education

2023

2022

2020

2019

2018

2017

Master of Science in Statistics

University of Illinois at Urbana-Champaign

Champaign, IL

AI/MLComputer VisionWeb DevelopmentDatabase Management

Specialized in Statistics with a focus on deep learning, computer vision, and web development.
Completed a diverse set of courses combining Computer Science and Statistics to build a comprehensive skill set.
Statistical Learning, Data Visualization, Data Mining, Machine Learning, Deep Learning, Computer Vision, Web Development, and Database Management.

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Bachelor of Science in Mathematics

University of Central Florida

Orlando, FL

AI/MLData Visualization

Awarded a full scholarship as an exchange student, reflecting academic excellence and dedication to the field.
The coursework included in-depth studies related to mathematics, machine learning, and bioinformatics, fostering a solid foundation in these areas.

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Bachelor of Science in Mathematics

Central South University

Changsha, China

Software EngineeringQuantitative Modeling

My academic focus encompassed computer science, statistics, and mathematics. As part of my academic journey, I engaged in two prestigious math modeling competitions hosted by COMAP — the Mathematical Contest in Modeling (MCM) and the Interdisciplinary Contest in Modeling (ICM).
In the Opioid Crisis Analytical Research (COMAP) project, I conducted an in-depth statistical analysis and trend prediction of drug abuse, utilizing a dataset comprising over 10,000 records. The outcome was a comprehensive 20-page report that assessed the drug abuse situation over time, identified major influencing factors, and presented insightful conclusions.
Another notable project, the Energy Profile Research for a Sustainable World (COMAP), involved analyzing the U.S. energy profiles, predicting future energy production and usage for each state, and formulating clean renewable energy targets.
Complementing my academic pursuits, I completed internships that provided practical insights into business analysis, as a Business Analyst Summer Intern at the Industrial & Commercial Bank of China, and additionally, as a Business Analyst Winter Intern at Prudential Insurance Co., Ltd. in Hong Kong
My academic journey also received recognition through honors such as MCM/ICM Honorable Mention in both 2018 and 2019, the Excellent Student Scholarship from Central South University, and achieving the 3rd Prize at the National Undergraduate Math Competition.
Beyond academics, I actively participated in the university chorus and took on the role of Project Manager at ENACTUS, where I contributed to addressing pollution challenges in Hunan, China.

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Data Software Engineer Coop

Biogen

Remote, United States

Software EngineeringQuantitative Modeling

Working as a data software engineer intern, focus on software engineering, machine learning, data analysis and data visualization
Developed and deployed a Full-Stack Web-based Machine Learning platform for batch data analysis.
Implemented data handling, cleaning, Machine Learning algorithms, and data visualization features.
Created responsive and user-friendly front-end interface with Bootstrap, HTML/CSS, and Plotly Dash.
Implemented efficient Redis Caching for backend and user database management with MongoDB.
Participated in OCR pipeline with OpenCV and AWS Textract API for digitizing handwritten lab data with Python, achieving over 90% precision and significantly reducing transcription time.

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Course Assistant

University of Illinois at Urban-Champaign

Champaign, United States

Software EngineeringQuantitative Modeling

Provided support to the professor and students in a graduate-level Statistical Learning class.
Assisted with class materials, assignments, and assessments, ensuring a smooth learning experience.
Conducted review sessions, clarified course concepts, and assisted in student understanding.
Offered guidance in statistical analysis and data interpretation, enhancing students' skills.
Graded assignments and exams, providing constructive feedback to help students improve.

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Software Engineer Intern

Kaisi Machinery

Anxiang, China

Software EngineeringQuantitative Modeling

Interned as a proactive and data-driven Software Engineer with a primary focus on software development, data analysis, and data visualization.
Spearheaded the creation of a data analysis web application using Django in Python, catering specifically to the machinery gear production processes. This application streamlined the analytical aspects of gear manufacturing.
Demonstrated a keen aptitude for data visualization by proficiently assessing the cutting efficiency of machinery gears and evaluating the overall equipment performance. This involved employing complex visualization techniques to enhance efficiency and performance.
Successfully bridged the gap between theoretical software engineering and practical data analytics, gaining valuable insights into real-world problem-solving in the machinery industry.

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Business Analyst Intern

Industrial & Commercial Bank of China

Shenzhen, China

Software EngineeringQuantitative Modeling

Collaborated as a Business Analyst Intern, concentrating on data analysis and visualization.
Leveraged Microsoft Excel, R, and regression modeling techniques to extract insights from financial data.
Developed and presented data-driven reports to support decision-making processes, contributing to the bank's analytical capabilities.

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Business Analyst Intern

Prudential Insurance

Hong Kong SAR, China

Software EngineeringQuantitative Modeling

Functioned as a Business Analyst Intern, specializing in data analysis and visualization.
Proficiently utilized tools such as Microsoft Excel and Word to analyze data, generate reports, and communicate insights.

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Contact me

Please contact me directly at rexzhang68@gmail.com or through this form.