Oversee Athlyticz Academy development. Responsibilities include developing comprehensive data science curricula, planning events such as webinars, oversee project decisions for cloud computing group, manage CMS/LMS, budgeting, marketing , etc.

Key responsibilities include:Develop and productionize Bayesian models to support Baseball Operations decision-making.Assist with the integration of baseball analysis into our proprietary tools and applications.Provide technical guidance to Analysts and Analytics Associates.Complete ad hoc data queries and effectively present analysis through the use of written reports and data visualizations.Monitor, identify and recommend new or emerging techniques, technologies, models and algorithms. Other projects as directed by Baseball Operations leadership team.

Funding provided through a National Science Foundation Fellowship to conduct statistical research within the field of wind energy."Small-Scale Wind Turbine Recurrence and Cost Modeling as a Function of Operational Covariates from Supervisory Control and Data Acquisition Systems" by: Michael S. Czahor and William Q. Meeker (2018)Finalize software that I have developed to simulate repairable systems lifetime behavior at the subsystem and component levels. The software allows the user to set different maintenance policies to assist in maximizing profits for their assets over different time periods. Both fleet level and individual system maintenance policy development are possible within the software. The software is adaptable across all industries and will be made available for public use via an R package. The title of the publication (preparing) is below:"Use of Repairable System Simulation to Set Maintenance Policy" by: Michael S. Czahor and William Q. Meeker (2018)

Prepare lectures for a class size of 80 students. Lead review sessions for exams. Course Description: Obtaining, presenting, and organizing statistical data; measures of location and dispersion; the Normal distribution; sampling and sampling distributions; elements of statistical inference; estimation and confidence intervals; hypothesis testing; inference for simple linear regression analysis; use of computers to visualize and analyze data.

Grade and tutor students.Course Description: Statistical concepts with emphasis on engineering applications. Data collection; descriptive statistics; probability distributions and their properties; elements of statistical inference; regression; statistical quality control charts; use of statistical software; team project involving data collection, description and analysis.

Analysis of Big 12 referees for Iowa State Men’s Basketball. All work was completed in Excel and R. “Day-after” game reports were generated and sent to the head of Basketball Operations at Iowa State.

Head Coach for U11-U14 girls soccer. Led training sessions for multiple teams. Led several additional camps. E-Licensed coach. Traveled to in-state and regional tournaments. Drafted comprehensive bi-weekly team reports. Drafted semi-annual individual player reports and conducted between season meetings with each player. Refereed several events including: TIM CUP, FAST FEET SOCCER, and IOWA SUMMER GAMES.

Analysis of comprehensive field data (failure data, operating data, some environmental data) and residual-life prognosis of power converters in doubly fed induction generator wind turbines. Work completed in R, SAS, and MATLAB. Weekly reports generated to update colleagues on relevant results.Project Description (from Fraunhofer's website): Operation and maintenance account for around a third of the life cycle costs of wind plants. System reliability will play a central role in the further sinking of LCOE for wind turbines. At the same time, the focus should be on the components which represent the principal cost drivers due to higher failure rates / longer downtimes. This is particularly applicable to the power electronic frequency converters used in practically all modern wind turbines nowadays.As the connector between the generator and system transformer, they are used for the power-frequency connection of variable speed wind turbines to the power supply grid. They ensure compliance with the grid connection conditions and permit optimal utilisation of the available wind. The combination of dynamic loads typical of wind and extreme environmental conditions places particularly high requirements on the power electronics.In addition to extensive evaluation of field data and damage analyses in laboratories, simulation models will be optimised in order to be able to reproduce better the loads acting on power electronics whilst taking the overall plant dynamics during operation into consideration. The development of systems for early detection of faults in electronic plant components and the design of innovative, fault-tolerant generator/converter concepts for the next generation of wind turbines are additional focal points.

-Data analysis via Foxprox Analytic Software for the Philadelphia 76ers. -Prepare post game analysis for the coaching staff.-Assisted in logging data for Harvey Pollack's annual statistical yearbook.