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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
dcat-fastapi-listener
June 19, 2026 – Present
Middleware to listen to the API calls and transmit the queries to the data catalog
View Projectohio-property-knowledge-graph
April 5, 2026 – Present
An ontology modeling Ohio parcel tax data mixed with court data around evictions and foreclosures.
View Projectmalloy_models
September 1, 2025 – Present
Using Malloy to build a Semantic Layer on top of the data warehouse
View Projectpg_probablepeople
August 19, 2025 – December 7, 2025
A Postgres extension based on the Probable People Python package
View Projectasync_censusgeocode
May 31, 2025 – May 31, 2025
Thin Python wrapper for the US Census Geocoder utilizing httpx and asyncclient
View Projectbroken_api
December 24, 2024 – December 24, 2024
This is a purposely broken FastAPI used for testing automated debugging.
View Projectunited-way-211-forecast-app
August 10, 2022 – January 6, 2023
Public repo for United Way 211 demand forecasting app
View Projectflutter-flashcard-app
August 3, 2020 – August 3, 2020
This app uses Flutter Flip Card animation package for flashcards. It allows users to download CSV files into the app as the "quiz brain." The completed version will allow users to go back through cards they are having difficulty with as well as randomize the order of the flashcards.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong inclination towards personal projects, showcasing initiative and self-driven learning. The diversity of projects, from mobile apps to data infrastructure and knowledge graphs, suggests a broad technical curiosity. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative, corporate environment. The projects align well with a data-centric role, indicating a good technical fit for a Data Scientist position.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technically focused, but do not provide insight into collaboration, problem-solving approach, or communication style in a team setting.