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Sr Data Scientist @ Apple
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Assessing your cultural and operational fit
The best decisions are made with high quality, accurate and timely information. My career is centered around utilizing technology to transform data from bits to valuable information assets, and it's fueled by a personal passion surrounding data and technology. 10+ years of experience with analytics, data architecture, data engineering and data science workloads.
Indiana University Bloomington
Master of Science (M.S.), Data Science
N/A – Present
Florida Atlantic University
Bachelors of Business Administration (BBA), Management Information Systems & Finance
N/A – Present
Apple
Senior Data Scientist
April 1, 2025 – Present
Seattle, Washington, United States · Hybrid
Microsoft
Principal Data Scientist
August 1, 2023 – March 1, 2025
Microsoft
Senior Data Scientist
August 1, 2020 – August 1, 2023
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Senior Cloud Solution Architect, Advanced Analytics & AI
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Senior Information Management Developer
August 1, 2015 – December 1, 2015
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Information Management Developer
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Gannett | USA TODAY NETWORK
Audience Analyst
September 1, 2012 – August 1, 2013
Microsoft Certified: Azure Data Engineer Associate
Microsoft
June 24, 2026 – Present
Microsoft Certified: Azure Data Scientist Associate
Microsoft
June 24, 2026 – Present
Microsoft Certified: Azure AI Engineer Associate
Microsoft
June 24, 2026 – Present
External User Group Gold
Microsoft
June 24, 2026 – Present
Hackathon Leader Gold
Microsoft
June 24, 2026 – Present
Python for Data Science and Machine Learning
Udemy
June 24, 2026 – Present
Microsoft Professional Program - Data Science Certificate
Microsoft
June 24, 2026 – Present
MCPS: Microsoft Certified Professional
Microsoft
June 24, 2026 – Present
(70-475) MS: Microsoft Specialist: Design and Implement Big Data Analytics Solutions
Microsoft
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in large, established tech companies, which suggests a fit for structured environments. The diverse roles within Microsoft (Cloud & AI, Experiences & Devices, Customer & Partner Solutions) indicate adaptability to different team cultures and objectives. However, the lack of detailed project descriptions makes it challenging to assess alignment with specific company values or a startup-like agile culture. The target role of 'Data Analyst' is a potential mismatch given the candidate's 'Principal Data Scientist' and 'Senior Data Scientist' experience, which typically involves more advanced modeling and strategic work than a traditional analyst role.
Soft Skills & Operational Fit
The candidate's career progression and roles at large organizations like Microsoft and Apple suggest strong operational fit and the ability to navigate complex corporate environments. The certifications in hackathon leadership and external user groups hint at collaboration and initiative. However, without specific project descriptions or behavioral assessment data, it is difficult to fully assess soft skills like communication clarity, teamwork, or problem-solving approach.