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Senior Software Engineer at Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Boğaziçi University
Mathematics
January 1, 2014 – January 1, 2014
Colgate University
Bachelor's Degree, Computer Science, Sociology
January 1, 2012 – January 1, 2016
Agnes Irwin School
High School
January 1, 2008 – January 1, 2012
Senior Software Engineer
May 1, 2023 – Present
Software Engineer
June 1, 2019 – May 1, 2023
BNY Mellon
Machine Learning Engineer- Lead Developer
July 1, 2017 – May 1, 2019
BNY Mellon
Technology Leadership Associate
July 1, 2016 – July 1, 2017
HP
Software Engineering Intern
June 1, 2015 – August 1, 2015
Colgate University
Computer Science Lab TA
August 1, 2014 – May 1, 2015
Colgate University. Hamilton, NY
Philadelphia Phillies
Summer Intern
May 1, 2013 – August 1, 2013
Greater Philadelphia
Project HOME
Summer Volunteer- Child Supervisor
June 1, 2012 – August 1, 2012
Greater Philadelphia
Law Offices of McGill and LaNoce
Law Assistant
June 1, 2012 – August 1, 2012
Greater Philadelphia
Project HOME
Summer Volunteer- Teaching Assistant
June 1, 2011 – August 1, 2011
Greater Philadelphia
Trackhack
October 1, 2014 – Present
A multi source playlist Won Best use of MongoDB Prize
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on technical roles, particularly in software engineering and machine learning. While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards engineering and ML model development, which might not be a direct fit for a pure data analyst role that typically focuses more on data extraction, transformation, visualization, and reporting rather than model building. The project 'Trackhack' and various volunteer/intern roles show some diversity, but the core professional experience is highly specialized. The transition from Senior Software Engineer at Google to a Data Analyst role requires further clarification on career goals and motivations.
Soft Skills & Operational Fit
The candidate's experience as a Computer Science Lab TA and various volunteer roles suggests good communication and teamwork skills. The description of automating tedious tasks and collecting/analyzing data at HP indicates an operational mindset. However, specific details on collaboration and problem-solving approaches are limited.