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Senior Data Scientist at Blueprint
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As a Data Scientist, my expertise lies in leveraging machine learning, analytical rigor, and statistical methods to process, analyze, and interpret large datasets. I specialize in shaping business and technical strategies across a diverse range of sectors, including Information Technology, Retail, Telecommunications, Finance, Utilities, and Healthcare. My passion is in automating practices and pinpointing opportunities for enhanced efficiency, making data-driven decisions a core driver of success.
University of Washington
Master of Science - MS, Information Management (Data Science)
September 1, 2016 – June 1, 2018
University of Washington
Bachelor's Degree
N/A – Present
Blueprint
Senior Data Scientist
February 1, 2026 – Present
Amazon
Data Scientist II
July 1, 2022 – September 1, 2025
Greater Seattle Area
Unify Consulting
Senior Consultant Data Scientist
January 1, 2022 – June 1, 2022
Greater Seattle Area
Infosys
Senior Consultant Data Scientist
November 1, 2018 – January 1, 2022
Greater Seattle Area
The Walt Disney Company
Machine Learning Engineer Intern
August 1, 2018 – November 1, 2018
Greater Seattle Area
LumaTax, Inc.
Data Scientist Intern
April 1, 2018 – May 1, 2018
Greater Seattle Area
LMC Consulting Group - Microsoft Global Security
Data Scientist Intern
June 1, 2017 – April 1, 2018
Greater Seattle Area
UW Medicine
Research Study Coordinator Lead
January 1, 2014 – September 1, 2016
UW Medicine
Research Study Coordinator
March 1, 2011 – January 1, 2014
UW Medicine
Research Study Assistant
October 1, 2010 – March 1, 2011
Intermediate R
DataCamp
June 24, 2026 – Present
Unsupervised Learning in R
DataCamp
June 24, 2026 – Present
Introduction to PySpark
DataCamp
June 24, 2026 – Present
Data Visualization with ggplot2
DataCamp
June 24, 2026 – Present
Introduction to Deep Learning with Keras
DataCamp
June 24, 2026 – Present
Keras Fundamentals
DataCamp
June 24, 2026 – Present
Supervised Learning in R: Regression
DataCamp
June 24, 2026 – Present
Supervised Learning with scikit-learn
DataCamp
June 24, 2026 – Present
Introduction to TensorFlow in Python
DataCamp
June 24, 2026 – Present
Machine Learning Fundamentals in R Track
DataCamp
June 24, 2026 – Present
Introduction to Deep Learning in Python
DataCamp
June 24, 2026 – Present
Experimental Design in Python
DataCamp
June 24, 2026 – Present
Data Analysis and Statistical Inference
DataCamp
June 24, 2026 – Present
Advanced Deep Learning with Keras
DataCamp
June 24, 2026 – Present
Deep Learning with PyTorch
DataCamp
June 24, 2026 – Present
Intermediate Python
DataCamp
June 24, 2026 – Present
Supervised Learning in R: Classification
DataCamp
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked in various organizational structures, from large corporations (Amazon, Microsoft, Apple, Disney) to consulting firms (Unify Consulting, Infosys) and startups (LumaTax). This diversity suggests adaptability to different corporate cultures. The breadth of projects across different domains (grocery, fashion, B2B marketing, security, healthcare) indicates a versatile and curious individual, which generally aligns well with dynamic environments. However, the target role is 'Data Analyst' while the candidate's experience is heavily skewed towards 'Data Scientist' and 'Machine Learning Engineer'. This might indicate a potential mismatch in expectations or a desire to shift focus, which could impact cultural fit if not properly addressed.
Soft Skills & Operational Fit
The candidate's resume demonstrates a strong ability to lead projects, consult with clients, and work on diverse teams, indicating good operational fit. The detailed descriptions of project contributions suggest strong communication skills in a professional context. However, without specific soft skill assessments, this remains an inference.