
Sr. Software Engineer at nVenue
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computational scientist and entrepreneur. Expertise in optimization, numerical simulation and data analysis. Genuine passion for innovation. Strong software development skills.
The University of Texas at Austin
Doctor of Philosophy (Ph.D.), Computational Science
January 1, 2003 – January 1, 2010
The University of Texas at Austin
Bachelor of Science (B.Sc.), Computer Science
January 1, 1998 – January 1, 2002
nVenue
Sr. Staff Engineer
February 1, 2023 – December 1, 2023
Austin, Texas Metropolitan Area · Remote
Corsearch
Sr. Data Scientist
January 1, 2021 – November 1, 2022
Austin, Texas Metropolitan Area · Remote
Marketly
Machine Learning Engineer
August 1, 2017 – December 1, 2020
Greater Seattle Area · Hybrid
openCurrents
Co-Founder
May 1, 2017 – September 1, 2018
Edyn
Software Engineer
December 1, 2015 – April 1, 2017
San Francisco Bay Area
Weld Inc
Software Engineer
December 1, 2013 – November 1, 2015
San Francisco Bay Area
Ecoscape Solutions
Computational Scientist and Entrepreneur
January 1, 2011 – January 1, 2013
The University of Texas at Austin
Research & Teaching Assistant
January 1, 2003 – January 1, 2010
Vignette
Quality Assurance Intern
January 1, 2001 – January 1, 2003
Cultural Fit Analysis
The candidate has a diverse background spanning academic research, startups, and established companies, indicating adaptability. Their entrepreneurial experience suggests a proactive and innovative mindset. However, the target role is 'Data Analyst' while much of their recent experience is in 'Sr. Data Scientist' and 'Sr. Staff Engineer' roles, which might indicate a potential mismatch in scope or seniority expectations for a pure analyst role. The breadth of skills is strong, but the direct alignment with a typical 'Data Analyst' role (which often focuses more on reporting, dashboards, and business intelligence rather than ML model deployment) is moderate.
Soft Skills & Operational Fit
The candidate's experience as a Co-Founder and Computational Scientist/Entrepreneur suggests strong initiative, problem-solving, and potentially leadership skills. Their work on scalable systems indicates an understanding of operational requirements and performance. However, specific soft skill assessments are not available.