Patrick Wales-Dinan
Senior Manager Data Analytics at Community Action Marin- Claim this Profile
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Bio
Jennifer Gossels
Patrick is a highly qualified data scientist. He recently completed the Data Science Immersive course at General Assembly (GA), and he performed so well as a student that GA asked him to serve as an instructor. Although I never worked with Patrick on any data science-related projects in an official capacity, he did consult with me informally on several projects throughout the summer. During that time, I was blown away both by Patrick’s natural ability to think critically and challenge the status quo and also by the ease with which he mastered new statistical concepts and coding techniques, including Python, SQL, Scikit-Learn, Kera, Scala, and TensorFlow. From my ten years of working with Patrick in various capacities, I also know that he is hardworking and ambitious. I would highly recommend any data science team hire Patrick, because he is a quick learner, critical thinker, hard working, and ambitious. *Quick Learner* Patrick had no coding experience prior to beginning the GA course, yet within a few weeks he was teaching me material I’d never encountered in my six years as a computer science Ph.D. candidate at Princeton or my four years as a computer science and math double major at Williams College. *Critical Thinker* Over the years that I’ve known Patrick, we’ve had many conversations during which he guided me to critically examine my previously established beliefs by asking insightful questions. When I push back with my own challenges to his ideas, we end up having productive discussions during which we both gain a new perspective on the topic at hand. *Hard Working/Dedicated* While coaching college track and cross country full time, Patrick regularly ran multiple practices per day and spent countless additional hours at the office. Unlike many coaches who employ a
Adam Jones
Over several months of working with Patrick he has demonstrated an uncommon level of competence, commitment, and problem-solving ability, as well as noteworthy interpersonal skills and leadership qualities. Patrick is among the most motivated students I've had the pleasure of teaching. I am confident he will continue to succeed as a professional data scientist, and will make important contributions wherever he ends up in the next phase of his career.
Jennifer Gossels
Patrick is a highly qualified data scientist. He recently completed the Data Science Immersive course at General Assembly (GA), and he performed so well as a student that GA asked him to serve as an instructor. Although I never worked with Patrick on any data science-related projects in an official capacity, he did consult with me informally on several projects throughout the summer. During that time, I was blown away both by Patrick’s natural ability to think critically and challenge the status quo and also by the ease with which he mastered new statistical concepts and coding techniques, including Python, SQL, Scikit-Learn, Kera, Scala, and TensorFlow. From my ten years of working with Patrick in various capacities, I also know that he is hardworking and ambitious. I would highly recommend any data science team hire Patrick, because he is a quick learner, critical thinker, hard working, and ambitious. *Quick Learner* Patrick had no coding experience prior to beginning the GA course, yet within a few weeks he was teaching me material I’d never encountered in my six years as a computer science Ph.D. candidate at Princeton or my four years as a computer science and math double major at Williams College. *Critical Thinker* Over the years that I’ve known Patrick, we’ve had many conversations during which he guided me to critically examine my previously established beliefs by asking insightful questions. When I push back with my own challenges to his ideas, we end up having productive discussions during which we both gain a new perspective on the topic at hand. *Hard Working/Dedicated* While coaching college track and cross country full time, Patrick regularly ran multiple practices per day and spent countless additional hours at the office. Unlike many coaches who employ a
Adam Jones
Over several months of working with Patrick he has demonstrated an uncommon level of competence, commitment, and problem-solving ability, as well as noteworthy interpersonal skills and leadership qualities. Patrick is among the most motivated students I've had the pleasure of teaching. I am confident he will continue to succeed as a professional data scientist, and will make important contributions wherever he ends up in the next phase of his career.
Jennifer Gossels
Patrick is a highly qualified data scientist. He recently completed the Data Science Immersive course at General Assembly (GA), and he performed so well as a student that GA asked him to serve as an instructor. Although I never worked with Patrick on any data science-related projects in an official capacity, he did consult with me informally on several projects throughout the summer. During that time, I was blown away both by Patrick’s natural ability to think critically and challenge the status quo and also by the ease with which he mastered new statistical concepts and coding techniques, including Python, SQL, Scikit-Learn, Kera, Scala, and TensorFlow. From my ten years of working with Patrick in various capacities, I also know that he is hardworking and ambitious. I would highly recommend any data science team hire Patrick, because he is a quick learner, critical thinker, hard working, and ambitious. *Quick Learner* Patrick had no coding experience prior to beginning the GA course, yet within a few weeks he was teaching me material I’d never encountered in my six years as a computer science Ph.D. candidate at Princeton or my four years as a computer science and math double major at Williams College. *Critical Thinker* Over the years that I’ve known Patrick, we’ve had many conversations during which he guided me to critically examine my previously established beliefs by asking insightful questions. When I push back with my own challenges to his ideas, we end up having productive discussions during which we both gain a new perspective on the topic at hand. *Hard Working/Dedicated* While coaching college track and cross country full time, Patrick regularly ran multiple practices per day and spent countless additional hours at the office. Unlike many coaches who employ a
Adam Jones
Over several months of working with Patrick he has demonstrated an uncommon level of competence, commitment, and problem-solving ability, as well as noteworthy interpersonal skills and leadership qualities. Patrick is among the most motivated students I've had the pleasure of teaching. I am confident he will continue to succeed as a professional data scientist, and will make important contributions wherever he ends up in the next phase of his career.
Jennifer Gossels
Patrick is a highly qualified data scientist. He recently completed the Data Science Immersive course at General Assembly (GA), and he performed so well as a student that GA asked him to serve as an instructor. Although I never worked with Patrick on any data science-related projects in an official capacity, he did consult with me informally on several projects throughout the summer. During that time, I was blown away both by Patrick’s natural ability to think critically and challenge the status quo and also by the ease with which he mastered new statistical concepts and coding techniques, including Python, SQL, Scikit-Learn, Kera, Scala, and TensorFlow. From my ten years of working with Patrick in various capacities, I also know that he is hardworking and ambitious. I would highly recommend any data science team hire Patrick, because he is a quick learner, critical thinker, hard working, and ambitious. *Quick Learner* Patrick had no coding experience prior to beginning the GA course, yet within a few weeks he was teaching me material I’d never encountered in my six years as a computer science Ph.D. candidate at Princeton or my four years as a computer science and math double major at Williams College. *Critical Thinker* Over the years that I’ve known Patrick, we’ve had many conversations during which he guided me to critically examine my previously established beliefs by asking insightful questions. When I push back with my own challenges to his ideas, we end up having productive discussions during which we both gain a new perspective on the topic at hand. *Hard Working/Dedicated* While coaching college track and cross country full time, Patrick regularly ran multiple practices per day and spent countless additional hours at the office. Unlike many coaches who employ a
Adam Jones
Over several months of working with Patrick he has demonstrated an uncommon level of competence, commitment, and problem-solving ability, as well as noteworthy interpersonal skills and leadership qualities. Patrick is among the most motivated students I've had the pleasure of teaching. I am confident he will continue to succeed as a professional data scientist, and will make important contributions wherever he ends up in the next phase of his career.
Credentials
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USATF Level II Endurance Coaching
USA Track & FieldJul, 2009- Sep, 2024 -
USATF Level I Coach
USA Track & FieldMar, 2008- Sep, 2024 -
Certified Strength & Conditioning Coach
USTFCCCAAug, 2015- Sep, 2024
Experience
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Senior Manager Data Analytics
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Apr 2023 - Present
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Data Analytics Manager
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Dec 2022 - Mar 2023
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Monte Vista High School
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United States
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Musicians
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1 - 100 Employee
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Head Cross Country & Track Coach
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Jan 2018 - Present
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USA Track & Field
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United States
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Spectator Sports
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100 - 200 Employee
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Endurance Coach - Track & Field, Cross Country, Road Racing
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Aug 2017 - Present
Coach a group of performance driven athletes in pursuit of Olympic Trials qualification in the sport of track & field and marathon. Coach a group of performance driven athletes in pursuit of Olympic Trials qualification in the sport of track & field and marathon.
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Stage 3 Talent
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United States
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E-Learning Providers
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1 - 100 Employee
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Principal Consultant, Data
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Jan 2022 - Nov 2022
Skills: Python, SQL, Machine Learning, Predictive Modeling, Visualization, Data Pipelines Skills: Python, SQL, Machine Learning, Predictive Modeling, Visualization, Data Pipelines
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General Assembly
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United States
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Animation and Post-production
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1 - 100 Employee
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Data Scientist Lead Instructor
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Mar 2020 - Jan 2022
As lead instructor of Data Science at General Assembly, I teach complex topics in data science and machine learning. I design and teach lessons to a full-time (40 hours per week) Data Science Immersive course that last 12-14 weeks. Students are taught Python, SQL, Scala/Spark, Tensor Flow, HTML and more. Topics range from classification and regression modeling, time series data forecasting, NLP, API Integration, to building dashboards using Flask. The material I teach also goes in depth to explore content in Statistics such as probability distributions, hypothesis testing, A/B testing, confidence intervals and the Central Limit Theorem. Students are assessed with quizzes, labs, projects, written work, and a final capstone project. I work with a team of Instructors and Instructional Associates to design curriculum, asses student work, and give thoughtful and meaningful feedback. My work helps prepare adult learners to enter the job market and make a successful career upgrade or transition in a competitive job marketplace. Show less
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Data Science Instructor Associate
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Sep 2019 - Mar 2020
Teaching a Data Science Immersive course to Data Engineers and Data Analysts from Intuit Corp and Vitol. The courses are individually designed and focus on in depth use of Python for machine learning topics. Lots of work is focused on Pandas and SQL queries. Specific areas of interest are NLP, Neural Networks (Tensor Flow, Keras, Scala), time-series ARIMA modeling, PyMC3 and more.
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Data Science Immersive Fellow
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May 2019 - Aug 2019
• A full-time Data Science immersive focused on real-world applications of data science principles and best practices, primarily with Python and SQL. • Experience in data acquisition, data cleaning and wrangling, predictive modeling, statistical modeling, and visualization strategies.• Developing a portfolio of individually and collaboratively focused projects.Data Science Methods & Tools:Python • SQL • Postgres • Scala • Spark • Pandas • Flask • AWS • Regression & Classification modeling: Random Forests, Logistic Regression, Decision Trees, SVM’s, Gradient Decent • Clustering: PCA, DBSCAN, Kmeans • API integration • NLP • Pipelines • Time Series Analysis: ARIMA, SARIMAX • Naïve Bayesian Inference & Regression: MCMC • Neural Networks • Deep Learning • Scikit-Learn • PyMC3 • Keras • StatsModels • Seaborn • Matplotlib • Tableau • BeautifulSoup Show less
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Harvard University
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United States
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Higher Education
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1 - 100 Employee
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Associate Head Coach Cross Country
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Aug 2014 - Jul 2017
Cross Country and distance coach for Harvard University. Coached athletes from 800m - 10,000m. Led Harvard women's cross country team to the 2016 Ivy League cross country championship and was named 2016 Ivy League cross country Coach of the Year. Coached 3 first team All-Americans in cross-country, indoor and outdoor track and field. Coached 9 athletes to 10 school records and over 30 top ten all-time marks. Coached 5 athletes who qualified for the US Olympic Trials or European Championships teams. Coached the fastest person 20 years or younger in the 10k in US history. (Since broken). Was responsible for managing recruiting for the track & field and cross country programs. Show less
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California State University, Long Beach
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United States
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Higher Education
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700 & Above Employee
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Head Cross Country Coach
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Sep 2012 - Aug 2014
Was head men's and women's cross country coach and assistant coach for track and field responsible for coaching distance runners. Mentored 15 athletes to over 40 top-10 performances including 8 school records. Led two athletes to the NCAA Championships in the 10,000m and 800m. Coached Chris Low to first team All-American in the 800m and NCAA West Regional Champion. Coached Chris Enriquez to individual qualifications to the NCAA Cross Country Championships and outdoor track and field championships. Both Enriquez and Low went on to earn medals at the 2014 NACAC Championships in Kamloops, BC. Was meet director for the Beach Invitational track and field meet that had over 5000 entries and 1000 athletes competing. Show less
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Duke University
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United States
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Higher Education
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700 & Above Employee
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Assistant Cross Country / Track Coach
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2011 - 2012
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Williams College
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United States
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Higher Education
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700 & Above Employee
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Assistant Cross Country / Track Coach
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Jul 2009 - Jul 2011
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Noble High School
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United States
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1 - 100 Employee
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Mathematics & Statistics Teacher
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Jul 2006 - Jun 2009
Taught AP Statistics and Calculus to high school students. Developed and implemented curriculum that went into depth of regression and classification analysis, hypothesis testing, confidence intervals, central limit theorem, linearity, probability, biased sampling statistical error, Chi-Squared Testing for Homogeneity, vector calculus, eigenvalues and eigenvectors, linear transformations and irrational numbers. Taught AP Statistics and Calculus to high school students. Developed and implemented curriculum that went into depth of regression and classification analysis, hypothesis testing, confidence intervals, central limit theorem, linearity, probability, biased sampling statistical error, Chi-Squared Testing for Homogeneity, vector calculus, eigenvalues and eigenvectors, linear transformations and irrational numbers.
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Marshwood High School
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Education Administration Programs
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1 - 100 Employee
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Math Teacher
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Apr 2006 - Jun 2006
Taught AP Statistics and Calculus to high school students. Developed and implemented curriculum that went into depth of regression and classification analysis, hypothesis testing, confidence intervals, central limit theorem, linearity, probability, biased sampling statistical error, Chi-Squared Testing for Homogeneity, vector calculus, eigenvalues and eigenvectors, linear transformations and irrational numbers. Taught AP Statistics and Calculus to high school students. Developed and implemented curriculum that went into depth of regression and classification analysis, hypothesis testing, confidence intervals, central limit theorem, linearity, probability, biased sampling statistical error, Chi-Squared Testing for Homogeneity, vector calculus, eigenvalues and eigenvectors, linear transformations and irrational numbers.
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Unum
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Norway
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IT Services and IT Consulting
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1 - 100 Employee
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Underwriter
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Jun 2005 - Apr 2006
Analyzed census data from individual companies to model price outcomes for long term disability, short term disability and life insurance plans. Partnered with sales staff to create proposals to leverage new business. Used actuarial tables to create recommendations for future prices models. Analyzed census data from individual companies to model price outcomes for long term disability, short term disability and life insurance plans. Partnered with sales staff to create proposals to leverage new business. Used actuarial tables to create recommendations for future prices models.
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Education
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Bates College
Bachelor of Arts (BA) -
2019 - 2019
General Assembly
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Victoria University of Wellington
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1998 - 2001
Milton Academy
Community
