Navid Lambert-Shirzad
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Platform for Agentic AI @ Qualtrics
Machine Learning Leader with more than 13 years of experience building and deploying AI solutions at scale, and over 8 years leading high-performance teams from intern to senior engineer level. Proven track record of transforming research into production impact, delivering 0 to 100 product adoption, multi-million-dollar cost savings, and state-of-the-art ML quality and performance. Skilled at aligning AI innovation with strategic business priorities, leading cross-functional execution, and mentoring diverse technical teams.
The University of British Columbia
Doctor of Philosophy (PhD), Biomedical Engineering
January 1, 2013 – January 1, 2017
The University of British Columbia
Master of Applied Science (MASc), Mechanical Engineering
January 1, 2010 – January 1, 2013
University of Tehran
Bachelor of Science (BSc), Mechanical Engineering
January 1, 2005 – January 1, 2009
Qualtrics
Staff Machine Learning Engineer
January 1, 2026 – Present
Seattle, Washington, United States
Software Engineer, Machine Learning
May 1, 2022 – January 1, 2026
Seattle, Washington, United States
AudioEye
Senior Machine Learning Engineer
May 1, 2021 – May 1, 2022
Seattle, Washington, United States
Living Sky Technologies, Ltd.
Lead AI Engineer
August 1, 2019 – May 1, 2021
Vancouver, Canada Area
Paravision
Machine Learning Engineer
January 1, 2018 – July 1, 2019
Vancouver, Canada Area
The University of British Columbia
Postdoctoral Research Fellow - Deep Learning
November 1, 2017 – December 1, 2017
Awake Labs Inc.
Machine Learning and Data Analytics Consultant
September 1, 2016 – November 1, 2016
Vancouver, Canada Area
Fit Brains
Machine Learning Engineer, Intern
February 1, 2016 – May 1, 2016
Vancouver, Canada Area
The University of British Columbia
Research Assistant (PhD Candidate)
May 1, 2013 – October 1, 2017
The University of British Columbia
Research Engineer (part-time)
September 1, 2011 – February 1, 2012
The University of British Columbia
Graduate Teaching Assistant and Curriculum Developer
September 1, 2011 – October 1, 2016
The University of British Columbia
Research Engineer (part-time)
September 1, 2011 – December 1, 2011
The University of British Columbia
Research Assistant (MASc Candidate)
September 1, 2010 – April 1, 2013
University of Tehran
Design Engineer and Consultant
February 1, 2009 – November 1, 2009
IKCO
Mechanical Engineering Intern - Benchmarking and Process Documentation
July 1, 2008 – September 1, 2008
Assembly Line #4
Vehicle Axle Manufacturing Co. (VAMCO)
Mechanical Engineering Intern - CAD and FEA Specialist
May 1, 2008 – July 1, 2008
Design Department
University of Tehran
Undergraduate Teaching Assistant
February 1, 2007 – February 1, 2009
EiS Ergonomic Electrosurgery Smoke Evacuator Project
January 1, 2012 – January 1, 2013
Designed a first generation prototype of an ergonomic electrosurgery smoke evacuator that fits the needs of the complex medical environment as well as fulfills the functional requirements of evacuating surgical smoke. Completed this project as part of the requirements of the Engineers in Scrubs program, presented at Canadian Medical and Biological Engineering Conference in 2014 and was awarded the 2014 Joel Burt Award for Design at UBC.
Statistical Inference
Coursera Course Certificates
June 24, 2026 – Present
R Programming
Coursera Course Certificates
June 24, 2026 – Present
Intro to TensorFlow
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Exploratory Data Analysis
Coursera Course Certificates
June 24, 2026 – Present
Getting and Cleaning Data
Coursera Course Certificates
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera Course Certificates
June 24, 2026 – Present
How Google does Machine Learning
Coursera
June 24, 2026 – Present
Introduction to Data Science in Python
Coursera
June 24, 2026 – Present
Launching into Machine Learning
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Applied Machine Learning in Python
Coursera
June 24, 2026 – Present
Visual Analytics: Tools, Techniques and Theory
Vancouver Institute for Visual Analytics (VIVA)
June 24, 2026 – Present
Reproducible Research
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on research and development, particularly in machine learning and data science. While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards 'Machine Learning Engineer' and 'AI Engineer' roles, which typically involve more advanced modeling and deployment than traditional data analysis. The academic background is very strong in research. The project diversity is good, ranging from medical devices to ML applications. However, the direct alignment with a pure 'Data Analyst' role, which often emphasizes business intelligence, reporting, and SQL proficiency, is not explicitly demonstrated in the same depth as their ML expertise. This suggests a potential mismatch in the specific day-to-day responsibilities of a typical Data Analyst role versus their demonstrated senior ML engineering capabilities.
Soft Skills & Operational Fit
The candidate's resume highlights experience in supervising and mentoring junior graduate students, leading a team (University of Tehran project), and working with cross-functional teams (Engineering and Sales at Paravision). These experiences suggest strong leadership, collaboration, and communication skills. The Killam Graduate Teaching Award also points to strong pedagogical and communication abilities. The detailed descriptions of problem-solving and project management indicate a structured and analytical approach to work.