
Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I'm a programmer and Data Scientist with a focus on deep learning for time series analysis. I'm also very interested in cybersecurity, music technology, and reinforcement learning. Check out my Github at: https://github.com/iantheconway
University of California, Santa Cruz
Computer Programming
January 1, 2016 – January 1, 2017
San Francisco State University
Music Recording/Industry
January 1, 2011 – January 1, 2014
City College of San Francisco
Associate’s Degree, Liberal Arts and Sciences, General Studies and Humanities
January 1, 2006 – January 1, 2009
Bugcrowd
Data Science Manager
April 1, 2022 – November 1, 2025
San Francisco Bay Area
Bugcrowd
Data Scientist
May 1, 2021 – April 1, 2022
San Francisco Bay Area
Riviera Partners
Senior Machine Learning Engineer
July 1, 2018 – May 1, 2021
San Francisco Bay Area
Pluto AI
Data Scientist
April 1, 2017 – June 1, 2018
Palo Alto
Speech Morphing
Software Engineer
September 1, 2014 – April 1, 2017
Campbell, CA
Cultural Fit Analysis
The candidate's experience is heavily skewed towards Data Science and Machine Learning Engineering roles, with a strong background in developing and deploying complex models. While the target role is 'Data Analyst', the candidate's profile suggests a much more senior and specialized background in data science and machine learning. This could indicate a potential mismatch in role expectations, as a Data Analyst role typically focuses more on data extraction, transformation, visualization, and reporting, rather than advanced model development and management. The educational background in Music Recording/Industry and Liberal Arts, followed by Computer Programming, shows a diverse learning path, but the professional experience is very focused. The lack of explicit project diversity outside of core ML/DS applications might limit cultural fit for roles requiring broader data analysis skills.
Soft Skills & Operational Fit
The candidate's resume indicates experience in managing a data science team, suggesting leadership and potentially strong communication and collaboration skills. The descriptions of diagnosing data issues and implementing experiment tracking solutions point to problem-solving and operational awareness. However, without specific soft skill assessments or interview data, a definitive evaluation of soft skills and operational fit is limited.