Chester Ismay, Ph.D. Email & Phone Number

Phoenix, Az, Us

- Lead initiatives around effective data management- Design, maintain, and upgrade Shiny apps to support student learning- Spearhead AI tool use

Sebastopol, Ca, Us

- Design statistics courses with a focus on conceptual understanding and Python applications- Assess student understanding with frequent multiple-choice exercises and hands-on exercises

- Build content and deliver courses on data science, data warehousing, statistics, R, and Python- Create monthly analyses focusing on quality control using a variety of statistical techniques- Develop online courses and projects in R and Python focused on testing student learning often and effectively

Portland, Or, Us

- Teach in the Data Analytics Certificate Program for the Center for Executive and Professional Education (CEPE) Data- Design curriculum, deliver lectures, and lead interactive sessions using learning sciences best practices covering the topics of Data Analytics, Data Warehousing, and Data Mining- Educate City of Portland employees in partnership with CEPE

Boca Raton, Fl, Us

Textbook author of “Statistical Inference via Data Science: A ModernDive into R and the tidyverse” available in print and for free at https://www.moderndive.com. 2nd edition coming in winter 2025! Check out the new edition online at https://www.moderndive.com/v2/.

New York, New York, Us

- Oversaw Data Science curriculum and instructional delivery teams (a team of ~25 individuals)- Initiated, planned, and implemented change to Saturn Cloud for cloud hosting to better support student learning- Coordinated curriculum and delivery plans with Enterprise clients and potential customers

New York, New York, Us

- Oversaw Cybersecurity curriculum and instructional delivery teams (a team of ~25 individuals)- Improved student and instructor experience in Cybersecurity education by leading content and project development of Canvas pages- Coordinated curriculum and delivery plans with Enterprise clients and potential customers

New York, New York, Us

- Spearheaded initiative to modularize Data Science curriculum to better serve Enterprise and Consumer customers, laying out prerequisite material and learning objectives at multiple levels throughout the curriculum- Used a backwards design process to identify what employers and alumni valued as most important for bootcamp graduates and create plans for implementing necessary curriculum changes- Coordinated recurring Guild meetings with other Data Science Education stakeholders across Flatiron School- Led a team of curriculum developers and central lecturers/instructional coordinators to maintain and create content with the student experience in mind at all times- Designed and implemented formative assessments via auto-graded quizzes and Python coding checkpoints- Provided thought leadership on data-related topics across Education Directors and the organization at large

Boston, Massachusetts, Us

- Maintained the datarobot R package- Spurred engagement with citizen data scientists, data scientists, and software developers in the DataRobot and machine learning community- Managed a small team of DataRobot University instructors helping them grow as teachers and as people- Led data science and machine learning in-person courses mostly throughout the US and Canada and virtually train working adults and students from all over the world- Taught interactive in-person and virtual Python and R courses on working with the DataRobot API using {dplyr}, {ggplot2}, pandas, etc.- Supported courses in Europe, Asia, Oceania, and Africa and lead in-person courses there as needed- Coordinated the western US and Canada region of DataRobot University (DRU) courses- Developed curriculum to expand DRU course offerings- Created Python and R content available on the DataRobot Community GitHub page- Revised curriculum based on input from course attendees and DataRobot's Customer Facing Data Scientists

Volunteered as chapter officer helping to navigate the pandemic while keeping the chapter engaged

New York, Ny, Us

- Doubled the size of the Content Development team in Belgium- Led the team of Content Developers to build courses with the best data science minds from throughout the world- Mentored and supported the growth of my team in building knowledge of the data science field aligned with their career goals- Built tools with R (shiny, R Markdown, ggplot2, the tidyverse, etc.), Asana, and SQL to make work more efficient and automated as needed- Managed course projects and external contractors in developing content on time and of high quality

New York, Ny, Us

- Onboarded, trained, and mentored new Curriculum Leads in all facets of the role via weekly checkins and frequent peer reviews- Supported DataCamp teams devoted to data analysis and community outreach related to diversity initiatives- Assisted course instructors in creating a thorough course outline and providing feedback on their course specifications- Facilitated instructors in working with DataCamp's Teach Editor- Contributed to open source projects- Ran in-person data science workshops and presentations

New York, Ny, Us

- Built DataCamp curriculum and instructor network using R, SQL, and Python- Created my own DataCamp course (Joining Data in SQL)- Strengthened involvement in the data science community by leading R conference organization and presenting at open source data science conferences- Contributed to open source projects including development of the {infer} and {moderndive} R packages

Portland, Or, Us

• Provided support for faculty and students in the selection and use of computer software for data visualization, data presentation, statistical analysis, mathematical calculations, graphing, modeling, and other quantitative activities.• Proactively communicated with faculty who use quantitative technologies to make them aware of existing and emerging technological resources.• Maintained currency on the uses of quantitative analysis technology in teaching and learning by developing key contacts at professional organizations and other schools, tracking current literature, and learning and evaluating emerging technologies.• Provided hands-on instruction and training workshops for faculty and students including Data Analysis with R, Data Visualization using R, and Reproducible Research• Collaborated with students, faculty, and staff on a variety of projects including development of an R Markdown senior thesis template, design of training manuals for introductory chemistry and biology on using R, and consultation of statistical projects using R• Taught MTH 141 - Introduction to Probability and Statistics using a randomization-based approach and R-based labs/projects

Portland, Oregon, Us

- Assisted the sports scientist of the Blazers with a variety of R and data analysis techniques- Topics included refactoring R code, building visualizations, and supporting dashboard development

Forest Grove, Oregon, Us

Taught Social Statistics using R, RStudio, and R Markdown with dplyr and ggplot2 using our open source, reproducible textbook at https://www.moderndive.com

Wilsonville, Or, Us

- Completed text analysis and market basket analysis to best determine how products were connected from customer responses- Performed ridge and lasso regression to better understand and predict employee retention- Worked with product managers, analysts, and engineers to deliver results to clients

Ripon, Wisconsin, Us

• Developed probability distribution viewer and calculator at http://ismay.shinyapps.io/ProbApp with Logan Soich• Taught courses in mathematics, computer science, and statistics• Researched, designed, and implemented courses that developed skills in data visualization, data mining, data analytics, creative thinking, collaboration, and communication via innovative projects• Managed interdisciplinary research projects with computing emphasis using R and SQL to query, to thoroughly check the accuracy of, and to analyze large data sets by developing analytical models• Led committees that planned events to showcase institutional faculty and student research and collaborations• Collaborated with science faculty on undergraduate research projects using R

Washington, District Of Columbia, Us

• Cleaned messy, large data sets of financial data to better understand patterns and business trends• Communicated summaries of complex large data sets using simple plots and tables• Debugged R functions and packages created to automate standard routines

Seattle, Wa, Us

• Statistically assessed predictive analytics ratings of mortality to determine the best forecasting model• Developed new mortality prediction ratings based on multivariate and logistic regression• Led meetings with actuaries and business partners to develop assumptions for statistical models and advised on appropriate paths for future work

Tempe, Az, Us

• Provided applied statistics support, experimental design, and statistical software guidance to faculty and graduate students from disciplines including business, biology, and linguistics• Developed an R program to extract relevant information from massive text files• Organized large data sets that were incomplete or inconsistent• Exported and imported files between various programs including R, Excel, and SQL• Led engaging discussions on statistical analysis options with clients

Us

• Developed efficient and more accurate algorithms in VBA for Microsoft Excel/Microsoft Word that greatly improved efficiency and accuracy of the standard reporting template• Clearly communicated mathematical procedures and statistical analyses to business associates• Authored a module in Excel using VBA and SQL that analyzed market trends

Doctor Of Philosophy (Ph.D.), Statistics

Master Of Science (M.S.), Statistics

Bachelor Of Science (B.S.), Computational And Applied Mathematics