Dustin Wicker Email & Phone Number

Baltimore, Md, Us

- Leading a team of diverse data professionals in analyzing how initiating and non-initiating parties select independent dispute resolution entities (IDREs) during the dispute process. Responsible for providing CMS with deep insights into the selection process, helping to identify and address inefficiencies, and increasing overall understanding of decision-making patterns.- Implementing Python-based machine learning algorithms to predict dispute closure durations using a dataset of over 1.6M disputes and 4.3M line items, and conducting comprehensive analysis to dissect the mechanics driving both prolonged and accelerated closures which improves strategic decision-making.- Developing a script that automates the entire process of creating the Federal Independent Dispute Resolution Public Use File (IDR PUF) and Supplemental Tables using SOQL and Python, ensuring data integrity and providing critical transparency in the implementation of the Federal IDR portal.- Leveraging SOQL and Python to conduct complex statistical analyses and create compelling data visualizations that respond to ad hoc requests from various CMS teams, providing valuable analytical insights, optimizing data ingestion processes, and informing process improvements.- Developing interactive Tableau dashboards to empower stakeholders in making data-driven decisions on complex topics by highlighting key trends in a user-friendly format, ensuring critical insights are accessible and actionable.

Washington, Dc, Us

- Built machine learning models and applied natural language processing techniques in Python to understand 15K referred cases' deferral reasons. Used the insights to improve case processing procedures and decrease deferral periods. - Performed in-depth statistical analyses and analytical techniques on 1M+ rows of data in Python and T-SQL to identify top action items causing delays in refugee processing operations. Visualized the results to upper-level officials through Tableau dashboards.- Built and redesigned 20+ interactive Tableau dashboards to provide pertinent, time-sensitive information in an easily digestible format to top-level government officials.- Implemented T-SQL code into 21 Common Data Model tables that allowed for smooth transition of data from initial ingestion into production. Solved crucial issues for processing centers around the world and improved data integrity.

New York, Ny, Us

- Mentored data science students one-on-one through a six-month online academy specializing in Python, PySpark, and SQL to develop their analytical skills and become proficient in the full data science stack.- Guided mentees through content such as programming fundamentals, statistical and regression analysis, machine learning, and big data using instructional sessions, code review, and pair programming. - Provided students with career coaching and industry best practices to assist their transition into the advanced analytics and data science field.

Falls Church, Virginia, Us

- Enhanced and productionalized eight statistical healthcare models in a time-sensitive environment using PySpark, HiveQL (HQL), and Python to support the Centers for Medicare & Medicaid Services (CMS) Center for Program Integrity in its effort to strategically combat fraud, waste, and abuse across Medicare, Managed Care, and Medicaid programs.- Built data process workflow from 100M+ rows of CMS data for each model using HQL, ensuring the proper population of providers, claims, and payment information was utilized in the data analysis and reporting process to identify fraudulent medical providers and practices.- Extracted qualitative and quantitative relationships by performing data manipulation and statistical analysis methods which resulted in robust data visualizations, reports, and presentations used by CMS and its partner organizations to further investigate identified cases of fraudulent activity.

Teaneck, New Jersey, Us

- Worked with a Fortune 500 rental car company to develop three production-level machine learning models in Python and synthesized the results to predict rental patterns of 4M brand switching customers resulting in a win-back email marketing campaign.- Developed machine learning models in PySpark using real-time car telemetry data to predict car maintenance failures before they occurred resulting in optimized fleet usage and overall reduction in maintenance costs per vehicle.- Utilized a variety of text mining techniques in Python on 45K post-rental survey responses to decipher patterns among positive and negative customer experiences.- Analyzed 25M customers and their 82M rentals through statistical techniques in Python to identify differences between churned and non-churned customers.- Segmented those 25M customers into five unique clusters using the K-means algorithm in Python to enable the client to send tailored emails and promotions.- Created bundles of the most popular products purchased together by performing association analysis in R on 35M ancillary product transactions resulting in immediate uplift in online sales.

Charlotte, North Carolina, Us

- Worked in the Civil and Mechanical Design Department- Assisted in implementing design changes and performing calculation revisions which led to a more efficient plant- One of six selected to complete the annual Engineering Support Personnel Health Report which focused on detecting problems and presenting solutions that allow the program to run more effective- Completed critical Temporary Load Releases and Seismic Operability Reports which allowed for smoother operation and increased production during the outage- Performed evacuation permits which ensures safe working conditions for workers and prevents damage to buried plant equipment- Performed piping improvement calculations which allowed for more efficient plant operation- Assisted in the creation of the Fukushima flooding inspection document which ensures the safety of the plant in the event of a natural disaster- Expanded knowledge and awareness of the plant by completing Basic Systems training

Charlotte, North Carolina, Us

- Worked in the Component Engineering and Support Department- Categorized important fuses, relays, valves, and motors that were critical to the safety of the plant- Categorized over 100 De-energized Relays by using fifteen pieces of information about each one which will be important to the future safety of the plant- Generated a descriptive list of all 166 Preventative Maintenance Identification Relay Quantities and evaluated them for Preventative Maintenance optimization

Charlotte, North Carolina, Us

- Worked in the Civil and Mechanical Design Department - Completed Flow Accelerated Corrosion evaluations for the upcoming Refueling Outage which led to safer, more reliable piping for several components in the plant- Updated Reactor Vessel Summary Stress Reports which led to safety improvements- Assisted in rigging and lifting design which maximized the safety of maintenance workers

Raleigh, Nc, Us

- Worked in the Civil and Mechanical Design Department- Developed Engineering Changes that increased plant safety and productivity- Updated stress isometric calculations which led to a more cost-effective and efficient plant- Conducted pipe stress analysis which led to a more effective and safer piping system

Raleigh, North Carolina, Us

- Worked in Roadway Department and Transportation Planning and Traffic Operation- Assisted in traffic data collection and modeling to maximize and improve traffic flow for new and existing roads- Acquired AutoCad Civil 3D experience through roadway and transportation projects- Served as a technical resource for parking demand modeling- Assisted in Safe Routes to School (SRTS) Project by meeting with various school members and developing plans and strategies for implementation- Modeled and tracked length of fiber optics path for the Microelectronics Center of North Carolina (MCNC) project through numerous counties- Assisted in wireless network development by collecting and sorting data on cell tower inventory

Raleigh, Nc, Us

- Worked in the Nuclear Fleet Design Engineering Department- Updated documents and Engineering Changes leading to superior work rate

Raleigh, Nc, Us

- Worked in the Engineering Programs Department- Demonstrated attention to detail in updating the Triennial Fire Protection Program- Updated Flow Diagrams which led to increased productivity

Master Of Science (M.S.), Analytics

Bachelor Of Science (B.S.), Civil Engineering

Education record