Michael Pajewski Email & Phone Number

Provide data analysis, statistical insights, and predictive modeling expertise to support the A Place for Mom Sales organization. Deliver key insights, automation, visualizations, and machine learning models in order to empower the sales organization to assist families we work with and to drive conversion of leads to move-ins.• Developed the Move in Probability Score model (MIPS), utilizing a PySpark Random Forest Classification algorithm to predict the probability of lead conversion from initial connection to a placement. Conducted extensive data exploration, feature engineering, and optimization to identify key variables and insights to enhance model performance. Model utilized by 350+ sales employees to prioritize quality of leads in combination with Smart Follow Up List.• Lead statistical analysis and assist in code development of Smart Follow Up List. This tool uses the MIPS model probability score and tree-based decision-making to create a daily list of highest quality leads for each sales advisor. This is predicted to create a net $15-25 million impact after one year.• Lead 5 AB test pilots planning, reporting, and statistical analysis. Successful pilots in combination resulted in a transformational impact to overall connection rate of 1.4 percentage points leading to a $1.68 million increase in yearly revenue and a $375,000 a year in vendor cost reduction.• Create and maintain automated workforce management scheduling and adherence tool utilizing Python, Fivetran magic folder, and Tableau. Process allows for automatic ingestion, transformation, cleaning, storage and visualization of manually created schedule data in combination with database status data.• Integrated email and Google Drive into Databricks using Python, Google API, and Amazon Simple Notification Service (AWS SNS) allowing for reporting automation that saves 80+ work hours per week.

New York, New York, United States

Masters of Data Science class of 2021• Current and Past Coursework In: Python, R, Linear Statistical Models, Data Mining, Bayesian Machine Learning, Data Visualization, Data Mining, and Big Data• Vice President of the MSDS Student Council• Serve as one of twenty-seven Representatives Judges of The University Judiciary Committee

Charlottesville, Virginia

• Lead the management and organization of data collection for multiple clinical trials and research studies involving the use of the artificial pancreas, smart insulin pens, insulin pumps, fitness tracking devices, and other data collection tools• Lead cleaning and standardization for all data sets for center’s internal clinical trials and research studies in effort to create standardized big data sets for analysis and data archiving • Created multiple VBA, R, and Excel tools to improve the efficiency and accuracy of data processing and cleaning • Use Excel, VBA, Python, and R to retrieve data from cloud services, then clean and organize into data packages for study Principal Investigators and industry partners• Create comprehensive data dictionary from data collected in collaboration from three separate research sites totaling over 5,000 unique data types and definition• Author on the paper The Impact of a Recently Approved Automated Insulin Delivery System on Glycemic, Sleep and Psychosocial Outcomes in Older Adults with Type 1 Diabetes in the Journal of Diabetes Science and Technology.

Greer, South Carolina

• Jointly leading team that planned layouts, work cell design, packing process, construction schedule, and construction team coordination for $3 Million launch of 400,000 square-foot facility• Led project team of 4 engineers for the MTM time study and site plan production of 2 logistics facilities totaling 600,000 square feet • Coordinated with subcontractor engineering consulting group of 7 Polish engineers by providing engineering data, production information, orienting team on facility and local production, preparing weekly status reports, and reviewing final project findings• Design AutoCAD layouts and improve facility design for 500,000 square-foot facility • Create VBA and Excel tools to track and forecast manpower, production volumes, and other facility functions• Create and maintain Microsoft Access Databases to track HR, packaging material, production, manpower and other facility functions • Coordinate with customers US and German engineering and production teams • Schedule and manage team of supervisors and hourly workers to complete 5s improvements on 500,000 square foot facility

Seneca, South Carolina

• Coordinated schedules and managed team of four industrial engineering students • Led communication efforts between Schneider Electric Engineering and Clemson University team • Improved wiring manufacturing process by 10% by identifying value-added and nonvalue-added processes

Charlottesville, Virginia Area

• Conducted comprehensive review of Virginia Motor Vehicle Code and vehicle automation laws in other states • First author on paper, Potential Legal Barriers to Vehicle Automation in Virginia

Master'S Degree - Ms, Data Science

Activities and Societies: MSDS Student Council Vice President Member of The University Judiciary Committee

Bachelor Of Science - Bs, Industrial Engineering

Activities and Societies: Institute for Healthcare Improvement, Clemson Triathlon Team