Max Mitchell Email & Phone Number

Richmond, VA, US

• Utilizing programming techniques to produce understandable and usable datasets, tables, and reports from various data sources driven by project specific needs.
• Performing exploratory data analyses to visualize, quantify, describe, and validate data fields for analytical purposes.
• Managing, monitoring, and maintaining SAS datasets and SQL Server tables used by the Data Analytics department as well as supporting complex data requests.
• Organizing complex clinical and operational data from multiple sources in support of the development of meaningful and impactful reports and data products for contract deliverables and special research.
• Developing, managing, and documenting project-specific analytic datasets and analytics data marts.
• Responding to complex requests from internal and external requestors for data analyses and reports that require advanced programming methods, with discussion and interpretation of the results.

I’ve been on a decade-long journey to learn about myself and the Universe, to improve my life, and to become dynamic. But first I had to get over one of my biggest roadblocks… my shyness and social anxiety. Well, I’ve accomplished that. Now I want to invite you on your own personal journey. If you feel you’re being crushed by your shyness and social.

San Francisco, California, US

• Managed the remediation of software and system vulnerabilities with 95% conformity to timing regulations by employing data analytics software, JIRA, and other remediation tools
• Decreased the incidence of vulnerability escalation in our systems by approximately 90% over the course of one year (2021) by maintaining metrics to identify trends in vulnerability remediation and informing management.
• Formulated and crafted a new procedure to address the remediation of a specific group of vulnerabilities, allowing for a reduction in the volume of outstanding unresolved vulnerabilities
• Coordinated the completion of compliance projects with other internal Wells Fargo teams by leading productive meetings, following up on assigned activities, and completing all deliverables
• Coordinated the systematic decommissioning of 200 servers by ensuring that all required protocols were delivered and all intermediate tasks were completed within the required timeframes, averting non-compliance
• Assigned and distributed one-off tasks and activities to other team members based on skill sets and availability in order to increase the productivity of the team by 20% in terms of tasks completed per week

Tucson, Arizona, US

• Developed and conceptualized a regression model and calibration study with the aid of SAS and SQL software to accurately predict channel infiltration in the Walnut Gulch Experimental Watershed (WGEW)

Washington, District Of Columbia, US

• Decreased the cycle time of a crucial annual analysis by a factor of ten by employing SAS data integration software to fill in missing identification information for a population of over 500,000 taxpayers
• Analyzed and processed the results of 16 recurring customer satisfaction surveys by utilizing statistical analyses performed in SAS and SQL to discern trends and track taxpayers’ satisfaction over time, thereby.
• Created dynamic SAS and SQL programs, implementing data pulls and data joins, which allowed efficient, repeatable programming for all recurring analyses
• Employed SAS data mining techniques (cluster analysis, decision trees, neural networks) to identify the characteristics of taxpayers who would be most likely to self-correct underreported income errors
• Developed and implemented visual displays, graphics, charts, and tables for inclusion in reports and verbal presentations with the aid of SAS visualization software and Microsoft Excel

Kennesaw, Georgia, US

• Developed a regression model to predict channel infiltration in the Walnut Gulch Experimental Watershed for implementation in the National Water Model, and presented this research at the AGU Fall Conference 2017
• Conceptualized and executed a calibration study on runoff data from the Walnut Gulch Experimental Watershed using the KINEROS/AGWA water model to confirm the aforementioned infiltration estimates
• Scholarly paper “Comparison between Observed and Simulated Channel Network Infiltration Losses in a Semi-Arid Catchment” to be published Summer 2018

Charlotte, North Carolina, US

• Developed process improvements that led to a 25% decrease in cycle times for several products
• Collaborated with safety personnel to implement safer procedures in the manufacturing facility for handling large quantities of raw materials
• Monitored process parameters on a daily basis to identify and correct process problems

Corning, New York, US

• Streamlined the overall glass-making process and ultimately eliminated 20% of the cycle time by implementing effective Statistical Process Control procedures
• Utilized statistical software packages and databases to develop and implement process improvements with a high purity glass-making process
• Designed experiments and conducted gage R&R studies to validate and improve processes and to implement new measurement devices
• Developed practical data metrics and displays for use by plant operations group, ultimately demonstrating a 40% yield improvement within the process
• Developed and managed technical documentation for manufacturing processes

Atmospheric Science & Hydrology, Hydrometeorological Analytics

Master Of Science (M.S.), Applied Statistics

B.S., Chemical Engineering