cv
Feel free to download a PDF of my CV using the link on the right!
Basics
| Name | Eric Ingram |
| Position | Student |
| erimingram@gmail.com |
Work
-
2024 - Present Learning Facilitator (Teaching Assistant)
University of Texas at Austin
Supported 600 students in CS391L, a graduate-level machine learning course for MS students in Computer Science, Data Science, and Artificial Intelligence. Responsible for holding 15 hours per week of office hours, grading exams, and facilitating student questions/discussions in message boards.
-
2023 - 2023 Teaching Assistant
Amherst College
Supported 26 students taking an upper-division statistics course by holding 4 hours of office hours per week.
-
2023 - Present Tutor
Self-employed
Experienced tutor in various subjects at different skill levels. Done in-person and virtually for over 200 hours.
-
2022 - 2022 Intern
University of Houston
Investigated accuracy, fairness, and interpretability tradeoffs in machine learning by creating recidivism models in Python.
-
2021 - 2021 Research Assistant
Amherst College
Researched methods to turn NBA footage into player tracking data using R, Python, Machine Learning, and Computer Vision.
-
2021 - 2021 Data Science Fellow
DSC-WAV Project
Engineered data to aid the City of Northampton, MA in its sustainability planning using R.
-
2020 - 2023 Orientation Leader
Amherst College
Led 15 incoming students through the Amherst College orientation process and acted as a first point of contact for new students.
-
2020 - 2020 ProjectConnect Facilitator
Amherst College
Worked with the Center for Counseling and Mental Health to connect small groups of students by facilitating discussions about shared interests and campus events during the pandemic.
-
2019 - 2019 Intern
CetecERP
Developed web applications in an model-view-controller framework with Perl Catalyst, JQuery, and HTML/CSS.
-
2019 - 2019 Intern
Fiveable
Created and compiled AP testing preparation resources for a new academic platform that currently reaches 65,000+ students annually.
Education
-
2023 - 2025 Austin, TX
-
2019 - 2023 Amherst, MA
Awards
- 2022
Mu Sigma Rho
American Statistical Association, Boston Chapter
Mu Sigma Rho is the national statistics honor society. Inducted due to outstanding work at the undergraduate level.
Publications
-
2022.12 Accuracy, Fairness, and Interpretability of Machine Learning Criminal Recidivism Models
Proceedings of the 2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)
Note: this paper is planned to be revised in the future. Criminal recidivism models are tools that have gained widespread adoption by parole boards across the United States to assist with parole decisions. These models take in large amounts of data about an individual and then predict whether an individual would commit a crime if released on parole. Although such models are not the only or primary factor in making the final parole decision, questions have been raised about their accuracy, fairness, and interpretability. In this paper, various machine learning-based criminal recidivism models are created based on a real-world parole decision dataset from the state of Georgia in the United States. The recidivism models are comparatively evaluated for their accuracy, fairness, and interpretability.
Skills
| Computer Science | |
| Python | |
| Data Structures and Algorithms | |
| Java | |
| HTML/CSS/JS | |
| Git |
| Mathematics | |
| Calculus | |
| Linear Algebra | |
| Real Analysis | |
| Abstract Algebra | |
| Measure Theory | |
| Convex Optimization | |
| LaTeX |
| Statistics | |
| R | |
| SQL | |
| Mathematical Statistics | |
| Regression | |
| Generalized Linear Models | |
| Data Visualization | |
| Survival Analysis | |
| Longitudinal Data Analysis | |
| Causal Inference | |
| Study Design |
| Data Science | |
| Machine Learning | |
| Deep Learning | |
| Computer Vision | |
| Natural Language Processing | |
| Artificial Intelligence | |
| Reinforcement Learning | |
| Data Mining | |
| Network Science | |
| Missing Data Methodology |
Languages
| English | |
| Native speaker |
| Spanish | |
| Native speaker |
| French | |
| Elementary Proficiency |