Eric Wang

As one strongly interested in Computer Science from a young age, pursuing a summer internship opportunity to obtain more hands-on experience in software design and development, and enjoy the excitement of contributing to the success of a team.

EXPERIENCE/PROJECTS

Avangrid, Inc., Summer Intern                                                                                                Jun 2022 – Aug 2022

   Avangrid, Inc., is a leading new energy company in US with 3.1 million customers.

• Developed an ETL that fetches data from a remote API and transforms the data into Excel csv format based on requirements to specified locations.
• Reviewed and discovered multiple bugs in a system written in C#, developed unit test and regression test cases for better quality control.
• Revised a legacy system in Python with improved performance and quality and Azure DevOps for source control
• Participated in project planning and system design review

Online Game Performance Analyzer, Developer                                                                      Jun 2021 – Present

   Genshin Impact, a popular action game that accumulates 127 million downloads since published in 2021.

• Identified the need of serving aggregated performance data to Genshin Impact game player as reference for quick selection of character and weapons during the game
• Designed and developed ETL which downloads raw data in HTML format from a third-party public website (after their agreement), extracts usage data from using Python and BeautifulSoup.
• Performs data cleansing, normalization, and generation of derived features using Python and Pandas.
• Developed Discord bot based on their REST API definition so Genshin Impact players around world can download the report in csv format by calling the REST API.
• Code at GitHub can be provided.

Malaria Parasite Predictor, Developer                                                                                   Sep 2020 – Dec 2020

   Machine learning Project in UMD’s Big Th!nk AI.

• Constructed and optimized a data model based on CNN. 
• Malaria data is processed with Keras and TensorFlow using Python.
• Model is trained with supervised data and achieved 88% accuracy.

Facial Recognition System, Lead Developer                                                                         Jun 2019 – Aug 2019

   This project participated New York Young Eaglelet Scintists’ Contest and won the 4th place

• Designed and developed a smart student info web site which will filter out images that contains face of certain students per their parents’ requests.
• Designed and developed ETL to load images to AWS’s image recognition tool Rekognition with Boto3, then process and store results in a MySQL database. 
• Set up a LAMP web service with web pages generated by PHP based on data stored in MySQL. Web page is written in HTML with Javascript and CSS.

EDUCATION

Bachelor of Science in Computer Science: Machine Learning                      May 2024, University of Maryland

Completed Courses: 

• Linear Algebra
• Applied Probability and Statistics 
• Introduction to Computer Systems
• Discrete Structures
• Organization of Programming Languages
• Algorithms
• Advanced Data Structures
• Introduction to Data Science
• Introduction to Immersive Media Design
• Digital Media Theory

Current Courses: 

• Introduction to Machine Learning
• Game Programming

Clubs: Big Th!nk AI, Game Development Club

CERTIFICATES

• IBM Certificate of Data Science Foundations                                                                         
• John Hopkins University Certificate of Web Development                                                                     
• Rice University Certificate of Fundamentals of Computing Specialization