/ABOUT_ME
With over two years of experience in Data Science and Software Engineering, I'm passionate about fostering ethical and efficient decision-making and leveraging the strength of interdisciplinary thinking.
Having graduated cum laude in Computer Science from CUNY Queens College (12/2023), I have built strong technical foundations, enhanced by a ML research internship with Dr. Jonathan Gryak and three significant developmental programs: Break Through Tech AI, CUNY Tech Prep, and DS3 at Microsoft Research. This, combined with my previous career in music, equips me with a distinct blend of resilience, creativity, and problem-solving capabilities that serve me in today’s ever-changing tech landscape.
My current career goal is to expand my technical and business knowledge across diverse sectors in order to build transferable skills and manage complex problems impacting overall global wellness, from the arts to sustainability. I’m particularly interested in privacy, promoting equity, and lowering barriers of entry to user-technology relationships. I consider interdisciplinary collaboration and mentorship high priorities when evaluating career opportunities and strive to be an equal asset to future employers, teams, and mentees.
I'm currently working as a Full Stack Data Science consultant but open to full time roles in the same, Data Engineering, Machine Learning, and backend Software Engineering.
Mastodon Feed
/SKILLS_&_TECHNOLOGIES
TOOLS
- Proficient: Python (Pandas, Numpy, Selenium, NLTK, Scikit-learn, TensorFlow, Beautiful Soup, Seaborn, Plotly, spaCy)
- Proficient: Java (JUnit, Cucumber, Selenium)
- Proficient: Git/Github/GitKraken
- Proficient: Jira/Confluence
- Intermediate: C++, SQL, HTML/CSS/XML, Microsoft SQL Server, PostgreSQL, Excel
- Familiarity: R, Bash, MongoDB, Azure Data Studio, Docker, Redgate
SKILLS
- OOP
- QA/Unit Testing
- Scrum/Agile Project Management
- ML model selection/training/evaluation
- EDA Exploratory Data Analysis
- Feature Engineering
- Data Cleaning/Analysis/Visualization
- Relational Database Management
/CERTIFICATES
- Data Science Summer School (Microsoft 2023) - 4 weeks, full time
- Data Science Fellowship (CUNY Tech Prep 2023) - 22 weeks, part time
- Machine Learning Foundations (Cornell Tech 2022) - 8 weeks, part time
RELEVANT_COURSES
- Database Systems & Data Modeling
- Applied Data Science
- Algorithms for Big Data
- Design & Analysis of Algorithms
- Object Oriented Programming in C++
- Object Oriented Programming in Java
- Discrete Math & Structures
- Data Structures
- Software Engineering
- Probability
- Linear Algebra
- Statistics
Overall GPA 3.57
/PROJECTS
-
Databases & Data Modeling:
- 3NF Database Transformation for Academic Course Scheduling (Fall 2023)
- Challenging Air Quality Claims: A COVID-19 Lockdown Case Study (Summer 2023)
- Vibify - AI-Powered Songwriting Companion (Fall 2022)
- MyMuscle's Interactive Fitness Guide & 1RM Calculator
Data Science:
AI & Sofware Engineering:
Software Engineering & Data Analysis (Hackathon Winning Submission - Fall 2022):
/PUBLICATIONS
“Prediction of Pediatric Peanut Oral Food Challenge Outcomes Using Machine Learning”,
Gryak et al., JACI:Global, 2024
Link to Article
/MEDIA
/CURRENTLY_READING
- The Mandarins by Simone de Beauvoir
- The Missing README: A Guide for the New Software Engineer by Chris Riccomini & Dmitriy Ryaboy
- Range: Why Generalists Triumph in a Specialized World by David Epstein
/INTERESTS_AND_HOBBIES
Tennis, Yoga, Running, Hiking, Singing, Music Production & Engineering, Songwriting, Philosophy, Physics, Leaving New York periodically
/CONTACT
aleksgeorgi@gmail.com