About
Hello! My name is Alex Caceres-Wright. I am currently on the job market, and am primarily interested in Natural Language Processing, Computational Linguistics, and Data Science. However, I am open to any role in the software engineering and data science space, including research. Along with this I am fluent in both English and Spanish.
Feel free to browse my website or download my resume here.
Featured Work
- A. Caceres-Wright, N. Udhayasankar, G. Bunn, S. Shuster, K. Joseph. “Explicit Stance Detection in the Political Domain: A New Concept and Associated Dataset”. Published at the 17th International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), September 18-20, 2024. Runner Up, Best Student-Led Paper Award
- A. Caceres-Wright, G. Bunn, S. Shuster, K. Joseph. “Who supports Bernie? Analyzing identity and ideological variation of Bernie supporters on Twitter”. Poster presented at the 10th International Conference on Computational Social Science (IC2S2), July 17-20, 2024.
Education
- Master of Science in Computer Science and Engineering from the University at Buffalo (SUNY). June 2024.
- Bachelor of Arts in Cognitive Systems (Cognition and Brain Stream) with a minor in Psychology from the University of British Columbia. May 2022.
Selected Coursework
| Graduate Level | Undergraduate Level |
|---|---|
| CSE 521: Operating Systems | CPSC 210: Software Construction |
| CSE 531: Analysis of Algorithms | CPSC 221: Basic Algorithms and Data Structures |
| CSE 560: Data Models and Query Languages | CPSC 368: Databases in Data Science |
| CSE 565: Computer Security | CPSC 322: Introduction to Artificial Intelligence |
| CSE 567: Computational Linguistics | CPSC 330: Applied Machine Learning |
| CSE 587: Computational Investment | CPSC 312: Functional and Logical Programming |
| CSE 589: Modern Network Concepts | COGS 300: Understanding and Designing Cognitive Systems |
| CSE 709: Selected Topics on Biometrics and User Identification | PSYC 336: Psychology of Language |
Technical Skills and Tools
Programming Languages
| Language | Proficiency |
|---|---|
| Python | Intermediate |
| Java | Intermediate |
| SQL | Advanced |
| C++ | Intermediate |
| C | Beginner |
| Javascript | Intermediate |
| R | Intermediate |
Tools
| Tool | Proficiency |
|---|---|
| Git | Intermediate |
| Jupyter | Advanced |
| PostgreSQL | Intermediate |
| Firebase Realtime Database | Advanced |
| Pandas | Intermediate |
| Visual Studio | Intermediate |
| JUnit Testing | Advanced |
| Flask | Beginner |
| Spark | Intermediate |
Further Learning
Currently in Progress
- Applied Python Data Engineering Specialization. Duke University via Coursera.
- Learning how to work with data pipelines, how to gain insights from data, as well as leverage machine learning models to analyze data
- Applied Data Science with Python Specialization. University of Michigan via Coursera.
- Learning and practicing skills such as data manipulation, querying, and visualizations, as well as text mining and social media analytics
- Mathematics for Machine Learning Specialization. Imperial College London via Coursera.
- Covering three important mathematical areas for Machine Learning: Linear Algebra, Multivariate Calculus, and Principal Component Analysis (PCA)
Completed
- Machine Learning Specialization, Stanford University and DeepLearning.AI via Coursera. Completed August 7, 2024. View Certificate
- Learned about both supervised and unsupervised machine learning techniques such as linear and logistic regression, decision trees, neural networks, clustering systems and reinforcement learning techniques
- Implemented several algorithms in python using tensorflow
Awards and Involvements
Academic
- Runner-Up, Best Student-Led Paper Award. 17th International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS). September 2024.
- Reviewer, 17th International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS). September 2024.
- Member, Association for Computing Machinery (ACM). January 2023 - Present.
- Alumni Mentor, Tri-Mentoring Program: Cognitive Systems Program, University of British Columbia. September 2022-Present.
- Summer School on Foundations of Data Science. Bryn Mawr College, June 27-28, 2023.
- Bloomberg Accelerator Summer School. Virtual, June 2023.
- First Place Prize, M&T Bank’s An Innovative Way to Promote Financial Understanding. UBHacking: Fall 2022 (Hackathon). November 5-6, 2022.
- Outstanding International Student Award, University of British Columbia. Academic Year 2017-2018.
Personal
- Volunteer Translator, COVID Information Commons. April 2024 - Present.
- Second Degree Black Belt, Kyokushin Karate. Ken Wa Kan Karate. Achieved March 15, 2015.
- Assisted with Children’s Karate Classes. Ken Wa Kan Karate and Public School 11, Winter 2010 - Summer 2017.