Logan Rudd
Data ScientistMember since June 21, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
spacecraft-telemetry-anomaly-detection
April 10, 2026 – Present
End-to-end ML infrastructure for real-time spacecraft telemetry anomaly detection
View Projecteng-impact-dash
February 20, 2026 – Present
A streamlit app showing the engineering impact of engineers working on PostHog
View Projectgromopo
March 22, 2025 – Present
Solana restaurant ordering platform — on-chain USDC payments, owner dashboard, self-serve review upload, AI-powered review insights via RAG
View Projectconcertx-frontend
November 29, 2022 – December 19, 2024
Empowering music artists and fans with immersive concert experiences and trusted transactions. Start bringing your concert ideas to life today!
View Projectserverless-test
November 8, 2021 – November 8, 2021
Testing deployment of a simple API with the Serverless framework
View Projectml-titanic-challenge
October 15, 2021 – October 28, 2021
A MLflow training pipeline and flask API
View Projectloganrudd.github.io
July 29, 2021 – November 19, 2022
loganrudd.github.io — GitHub repository
View Projectimplied-vol-plot
May 11, 2021 – December 29, 2021
Real-time BTC implied volatility skew charts powered by LedgerX websocket data, Redis Pub/Sub, RedisTimeSeries, and Bokeh.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal exploration and diverse technologies, including blockchain (Solana, USDC payments). While this demonstrates initiative, the target role is 'Data Scientist', and many projects are not directly aligned with core data science responsibilities (e.g., frontend development, general web development, blockchain). This broad interest might indicate adaptability but also a potential lack of focused experience in a traditional data science team setting. The absence of professional experience makes it difficult to assess cultural fit within a corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.