Alyssa Frazee
Data AnalystSoftware engineer at Check
Check
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software engineer at Check
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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The Johns Hopkins University
Doctor of Philosophy (PhD), Biostatistics
January 1, 2010 – January 1, 2015
St. Olaf College
Bachelor of Arts (BA), Mathematics
January 1, 2006 – January 1, 2010
Check
Staff Software Engineer
May 1, 2022 – Present
San Francisco Bay Area
Pilot.com
Senior Software Engineer
April 1, 2021 – May 1, 2022
San Francisco, California, United States
Deck
Staff Software Engineer
December 1, 2019 – March 1, 2021
San Francisco Bay Area
Stripe
Security & Machine Learning Engineer
March 1, 2015 – November 1, 2019
San Francisco, CA
Recurse Center
programming sabbatical
June 1, 2013 – August 1, 2013
New York, NY
Cultural Fit Analysis
The candidate's experience is heavily skewed towards software engineering, machine learning, and security engineering roles, with a strong academic background in biostatistics and mathematics. The target role is 'Data Analyst'. While the analytical and quantitative skills from their education are highly relevant, the professional experience does not directly align with a typical Data Analyst role, which often involves more direct data manipulation, visualization, and business intelligence tasks rather than software development or ML engineering. This suggests a potential mismatch in day-to-day responsibilities and career trajectory, which could impact cultural fit for a pure data analyst team. The diversity of companies (Stripe, Pilot.com, Check) indicates adaptability to different organizational cultures.
Soft Skills & Operational Fit
The candidate's career progression from individual contributor to engineering manager and back to staff engineer suggests adaptability and a broad understanding of technical and leadership roles. The descriptions, while brief, indicate experience in technical leadership (e.g., 'Technical lead, Customer Experience', 'Risk lead'). However, without specific project details or behavioral assessment data, it is difficult to fully assess soft skills like collaboration, problem-solving approach, or communication style.