Johnson Jia
Data AnalystGoogle DeepMind AI Platform
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Google DeepMind AI Platform
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Engineer/Scientist with a diverse set of experiences in both academia and industry. Skilled in machine learning (especially working with structured/tabular data), Python, Apache Spark, and Vim. Working on applying deep learning techniques to solve real-world business problems. Enjoys keeping up with latest research in artificial intelligence, as well as getting well-designed machine learning models and smart data applications into production.
Stanford University
Graduate Certificate in Artificial Intelligence, Artificial Intelligence
September 1, 2019 – April 1, 2021
University of Michigan
Doctor of Philosophy (Ph.D.), Mathematics
January 1, 2004 – January 1, 2010
UCLA
Bachelor’s Degree, Mathematics
January 1, 2000 – January 1, 2004
UCLA
Bachelor’s Degree, Computer Science and Engineering
January 1, 2000 – January 1, 2004
Google DeepMind
Senior Software Engineer
April 1, 2025 – Present
Mountain View, California, United States · On-site
Senior Software Engineer, Machine Learning
May 1, 2023 – April 1, 2025
Senior Software Engineer, Machine Learning
November 1, 2021 – May 1, 2023
Senior Software Engineer - Data Mining/Data Analysis/Machine Learning
June 1, 2019 – November 1, 2021
Mountain View, CA
JD Digits
Senior Scientist
April 1, 2018 – May 1, 2019
Mountain View, CA
Capital One
Machine Learning Data Engineer
March 1, 2017 – April 1, 2018
McLean, VA
Capital One
Principal Data Analyst
January 1, 2016 – March 1, 2017
McLean, VA
Domeyard LP
Partner
June 1, 2015 – June 1, 2015
Boston
Financial Industry Regulatory Authority (FINRA)
Developer
August 1, 2012 – May 1, 2015
Rockville, MD
The University of British Columbia
Postdoctoral Fellow
August 1, 2010 – June 1, 2012
Greater Vancouver Metropolitan Area
Princeton University
Visiting Graduate Student Research Assistant
August 1, 2008 – December 1, 2008
Fine Hall, Princeton University
University of Michigan
Graduate Teaching Assistant
September 1, 2004 – December 1, 2009
Ann Arbor, Michigan
UCLA
Course Grader, CS 180
April 1, 2003 – June 1, 2003
Los Angeles
UCLA
Computer Lab Consultant
October 1, 2002 – June 1, 2004
Los Angeles
Machine Learning: Classification
Coursera Course Certificates
June 24, 2026 – Present
Introduction to Big Data
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Graph Analytics for Big Data
Coursera Course Certificates
June 24, 2026 – Present
edX Verified Certificate for Computational Probability and Inference
edX
June 24, 2026 – Present
edX Verified Certificate for Learning From Data (introductory Machine Learning course)
edX
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Machine Learning Foundations: A Case Study Approach
Coursera Course Certificates
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Data Manipulation at Scale: Systems and Algorithms
Coursera Course Certificates
June 24, 2026 – Present
AI The LinkedIn Way: A Conversation with Deepak Agarwal
June 24, 2026 – Present
AWS Certified Solutions Architect - Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Practical Predictive Analytics: Models and Methods
Coursera Course Certificates
June 24, 2026 – Present
Communicating Data Science Results
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning: Regression
Coursera Course Certificates
June 24, 2026 – Present
Introduction to Big Data Analytics
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning With Big Data
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning Engineer Nanodegree
Udacity
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various industries (finance, social media, e-commerce, tech) and roles (Data Analyst, ML Engineer, Senior Scientist, Software Engineer) suggests adaptability and a broad perspective. Their academic background in mathematics and computer science, combined with continuous learning through numerous certifications in AI/ML and Big Data, indicates a strong drive for continuous improvement and intellectual curiosity. The transition from academic research to industry, and then through various data-centric roles, shows a proactive approach to career development and a willingness to tackle new challenges. The target role of 'Data Analyst' aligns well with their foundational experience at Capital One and LinkedIn, although their recent roles lean more towards ML Engineering. This breadth of experience suggests a good cultural fit for organizations that value continuous learning and cross-functional expertise.
Soft Skills & Operational Fit
The candidate's experience as a Principal Data Analyst at Capital One, where they were a product owner and led an offshore team, indicates strong leadership, project management, and communication skills. Their history of conducting technical internal presentations also suggests good communication and knowledge sharing abilities. The descriptions of their work at FINRA highlight their ability to work within a structured SDLC, manage complex programs, and support business analysts, indicating strong operational fit.