Hi! I’m Jack, an aspiring data scientist studying at Carnegie Mellon University.
Experience
Technical Intern - Northrop Grumman
May 2023 - Present
- Wrote various Python + Ansible scripts for data parsing, digital asset management, and other engineering tasks
- Automated software downloads with Powershell
- Engaged in daily Scrum meetings with the software engineering team
- Shadowed DevOps engineers performing various tasks, including systems troubleshooting
- Introduced design software Figma to several engineers, who now use the tool regularly
- Used Microsoft 360 tools (Powerpoint, Excel, Visio) to develop documentation for the setup of various hardware + software
Director of Marketing - Physics for the Planet
Aug 2022 - Jun 2023
- Developed sitemap for student-run nonprofit covered on local and national news outlets including FOX 40 + Digital Journal
- Edited emails for the outreach team + articles for the blog
- Wrote web copy + currently revising the UX writing/design for the site
Level II Math Tutor - Mathnasium
Jan 2022 - Aug 2022
- Tutored subjects from elementary math to algebra II
- Worked with up to 9 students in 1-2 hour sessions per workday
Skills
Software
Jira, Confluence, Microsoft 360, Figma, Slack, VS Code, Command Line, Trello, Jekyll, Git, GitHub, Ubuntu, Ansible, GPG
Languages
R, Python, Powershell, C, C#, JavaScript, HTML, MarkDown, SQL
Modules/Packages
Tidyverse, dplyr, ggplot2, threading, NumPy, Beautiful Soup, requests
UX Research Methods
Affinity Diagrams, Interviews, Surveys, Fly-On-The-Wall Observations
Education
Certifications/Credentials
- Google Cybersecurity Certificate (via Coursera)
- Google Data Analytics Certificate (via Coursera)
- Google Cloud Leader Training Certificate (via Coursera)
- Hubspot’s Inbound Certification
Carnegie Mellon University (2022-2026)
Courses Taken
- 15-112: Fundamentals of Programming
- 21-120: Differential and Integral Calculus (Calc I)
- 21-122: Integration and Approximation (Calc II)
- 21-256: Multivariate Analysis (it was more like Calc III than real analysis tbh)
- 21-127: Concepts of Mathematics (Discrete Math)
- 21-240: Matrix Algebra with Applications (Linear Algebra)
- 67-309: Information Assurance
- 17-331: Information Security, Privacy, and Policy
- 17-735: Engineering Privacy in Software
- 36-200: Reasoning with Data
- 36-202: Methods for Statistics & Data Science
- 36-315: Statistical Graphics and Visualization
- 36-235: Probability and Statistical Inference I
- 36-236: Probability and Statistical Inference II
- 36-350: Statistical Computation
- 76-107: Writing About Data
Extracurriculars/Clubs/School Projects
Analysis of USA Police Killings in 2015 - CMU Department of Statistics and Data Science
- Performed statistical analysis on online dataset via R
- Sanitized dataset through dplyr and Tidyverse packages
- Developed complex statistical visualizations via ggplot2
- Link to publication
Byzantine Robustness for Fed_IoT_Guard
- Deployed mathematical techniques to improve federated learning framework’s resistance to data poisoning attacks
- Performed extensive research on federated learning, data privacy, and data poisoning
- Link to publication
Design for America
- Worked with team to revise School of Computer Science’s Research Position posting list (think of it like Indeed, but for CMU research positions)
- Helped devise survey for user feedback on old design
- Organized several one-on-one interviews to discuss user feedback on old design
The Writing Academy
- Met with mentor several times across school year to discuss career goals (specifically for technical writing)
Disclaimer
The opinions expressed on this website are of my own and not necessarily of my employer