Matt Evanoff
Data AnalystPrincipal, AI Solution Engineer
MGT Insurance
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Principal, AI Solution Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Solution Engineer leader specializing in architecting, building, and evaluating Agents and traditional ML. I solve problems, let’s talk. Former Student - Athlete and I live by one simple rule. Give 100% effort or don't do it at all. This personal promise has changed my life and has taught me that passion ultimately drives my goals.
Udacity
Machine Learning Engineer Nanodegree, Machine Learning
January 1, 2015 – January 1, 2016
Dev Bootcamp
Full Stack Developer
January 1, 2014 – January 1, 2015
University of California, Berkeley
Bachelor's degree, American Studies Business and Globalism
January 1, 2009 – January 1, 2014
MGT Insurance
Agentic Engineer, Principal
January 1, 2026 – Present
San Francisco Bay Area · Hybrid
Salesforce
AI Engineer, Principal
March 1, 2025 – January 1, 2026
Salesforce
Director, Machine Learning Application
February 1, 2024 – March 1, 2025
Salesforce
Lead Data Scientist, Machine Learning Engineer
February 1, 2022 – February 1, 2024
Salesforce
Data Scientist
August 1, 2019 – February 1, 2022
Insight Data Science
Insight — Artificial Intelligence Fellow
January 1, 2019 – July 1, 2019
San Francisco Bay Area
Udacity
Machine Learning Engineer
March 1, 2016 – May 1, 2016
Udacity
Machine Learning Code Reviewer
January 1, 2016 – February 1, 2020
Dev Bootcamp
Junior Software Developer
September 1, 2014 – April 1, 2015
San Francisco Bay Area
N2 Publishing
Area Sales Director
March 1, 2014 – May 1, 2014
El Dorado Hills, California
Regal Marketing Solutions
Brand Ambassador
January 1, 2014 – February 1, 2014
Rancho Cordova, California
UC Berkeley
Bachelor Degree
August 1, 2009 – May 1, 2014
Berkeley, California
San Francisco Crime Classification
January 1, 2016 – Present
• Perform Exploratory Data Analysis and Predict Crime Category • Python, Advanced EDA, Advanced Machine Learning, Stats, Ensemble Learning, Data Mining, Feature Extraction, Scikit-learn, Pandas, Numpy
Geodemographic Segmentation Analysis
October 1, 2015 – Present
• Real world problem detecting why customers are leaving their bank • Python, Bayesian, A/B Tests, Data Mining, Predictive Modeling
Sabermetrics
August 1, 2015 – Present
• Created the perfect team using data manipulation and predicted how many games the newly formed team wins under a set salary cap • Python, Data Wrangling, Pandas, Numpy, Visualizations
Predicting Playoff Teams
July 1, 2015 – Present
• EDA to predict statistics which influence playoff appearances and wins using Lahman’s Baseball Database and implementing Machine Learning • R, Exploratory Data Analysis, Data Visualization, Predictive Analytics
Analyze NYC Subway
May 1, 2015 – Present
Analyzed NYC data to answer the question: Do more people ride the subway when it is raining? • Python, Statistical Tests, Linear Regression, Data Visualization, Data Wrangling, Predictions
Keep Your Friends Close
March 1, 2015 – Present
App that allows users to easy communicate around their current location Week long group final project built in Ruby on Rails, JavaScript, Web Sockets, and Facebook Responsible for Back-End development, integrating Facebook content, and Geolocation tracker http://keepyourfriendsclose.herokuapp.com/
Hangman Game
February 1, 2015 – Present
Weekend JavaScript Game Project built with Object Oriented JavaScript, jQuery, AJAX, on a Sinatra server https://green-hangman.herokuapp.com/hangman
Connect 4 Game
February 1, 2015 – Present
One day group project built solely in Object Oriented JavaScript, jQuery, and Heroku deployment Responsible for algorithms to find winning connections http://dbc-phase2-connect4.herokuapp.com/
edX Honor Code Certificate for Statistics and R for the Life Sciences
edX
June 24, 2026 – Present
Machine Learning Engineer Nanodegree
Udacity
June 24, 2026 – Present
edX Honor Code Certificate for Advanced Statistics for the Life Sciences
edX
June 24, 2026 – Present
edX Honor Code Certificate for The Analytics Edge
edX
June 24, 2026 – Present
edX Honor Code Certificate for Matrix Algebra and Linear Models
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data-driven problem-solving and continuous learning, evidenced by certifications and a Nanodegree in Machine Learning. Their diverse experience, from full-stack development to advanced AI engineering, indicates a broad technical curiosity. However, the target role is 'Data Analyst' while the candidate's recent experience is heavily skewed towards 'AI Engineer' and 'Machine Learning Application Director', which might indicate an overqualification or a mismatch in the desired scope of work for a typical Data Analyst role. The projects are diverse, but the recent professional roles are highly specialized in AI/ML, which could be a cultural fit challenge if the Data Analyst role is purely focused on traditional BI or reporting.
Soft Skills & Operational Fit
The candidate's experience as a Machine Learning Code Reviewer at Udacity suggests strong analytical and feedback skills. Their background as a student-athlete at UC Berkeley indicates discipline, time management, and resilience. Roles in sales and brand ambassadorship also point to developed communication and interpersonal skills. The progression through various roles at Salesforce (Data Scientist to Principal AI Engineer) demonstrates leadership, growth, and adaptability within a large organization.