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Machine Learning | Cyber Security | Software Engineer
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, Machine Learning Engineer/Data Scientist, Algorithm Designer, and a problem solver who enjoys starting with the problem statement, is able to see what others cannot, and delivers the desired software at the end. Coding experience in various programming languages: Python, Spark, SQL, C++, Objective–C, C#, Java, C, Matlab, ASP.NET MVC, and MPI. Developing analytic models for assessing the cyber-security risk of companies.
University of Houston
Doctor of Philosophy (Ph.D.), Computer Science
N/A – Present
University of Houston
Master of Science - MS, Computer Science
N/A – Present
Yıldız Teknik Üniversitesi
Master of Science - MS, Computer Engineering
N/A – Present
Istanbul Technical University
Bachelor of Science - BS, Electronics and Communication Engineering
N/A – Present
ISS STOXX
Data Scientist/Software Engineer
July 1, 2024 – Present
ISS STOXX
Data Scientist/Software Engineer
October 1, 2020 – June 1, 2024
FICO
Lead Data Scientist/Software Engineer
November 1, 2019 – October 1, 2020
FICO
Data Scientist/Software Engineer
December 1, 2016 – November 1, 2019
Department of Computer Science at the University of Houston
Lecturer
August 1, 2014 – June 1, 2016
United States
TOTAL
Software Engineer Intern
May 1, 2012 – August 1, 2012
Houston, Texas Area
Cultural Fit Analysis
The candidate has a diverse educational background and experience across different industries (finance, cyber-security, academia, energy). Their work on explainable AI and risk models suggests an interest in ethical AI and transparent decision-making. The transition from a Software Engineer Intern to a Lead Data Scientist/Software Engineer indicates adaptability and a growth mindset. However, without specific project details or team collaboration examples, a deeper cultural fit analysis is challenging. The target role of 'Data Analyst' is a slight shift from their 'Data Scientist/Software Engineer' roles, which might require an adjustment in focus from model development to more in-depth data exploration and reporting.
Soft Skills & Operational Fit
The candidate's resume indicates a strong analytical and problem-solving aptitude through their work on complex modeling and algorithm optimization. Their lecturer experience suggests good communication and mentoring skills. The progression from Data Scientist to Lead Data Scientist at FICO demonstrates leadership potential and operational effectiveness. However, without psychometric or English test results, a comprehensive assessment of soft skills and operational fit is limited.