Dale Brearcliffe Email & Phone Number

Reston, Virginia, United States

As an experienced Data Scientist, I specialize in working with diverse customer data sets to extract valuable insights and patterns that contribute to their success. Leveraging my expertise in various programming languages and modeling techniques, I develop interdisciplinary solutions tailored to clients' unique needs, driving exceptional results. My commitment to continuous learning, strong problem-solving abilities, and persistence ensures a successful outcome every time.

Manassas, Va

Providing support to mvBase and other Pick-type computing environments. Create and maintain websites. Design and build databases. Provide data mining services.

Tysons, Virginia

Conducts data analysis and computational modeling, specializing in developing agent-based models for government clients to investigate emergent phenomena in complex systems. Proficient in synthesizing information from diverse data sources and utilizing machine learning techniques to extract patterns and forecast trends from large datasets. Skilled in social network analysis and network science, focusing on extracting insights from social media data to inform policy recommendations. Experienced in algorithm development using Python and other languages for both high-performance computing (HPC) and standard environments. Demonstrates proficiency in data visualization with Processing, Python, and Power BI. Effective communicator, adept at presenting complex findings to government clients.

Reston, Va

Advance a Lawrence Livermore National Laboratory program's fundamental understanding of advanced data analytics by modernization of related processes using applied research and development.- Acquire data sets of a variety of sizes in support of the program's tasks.- Curate data sets and transform them to formats usable for advanced data analytics. - Develop, implement, and evaluate algorithms and models for analysis, prediction and decision making. Make full use of inductive, deductive, and abductive approaches.- Use applied statistical analysis including, but not limited to, computational, machine learning, network science, and artificial intelligence techniques, to discover latent patterns and predictions. Use this information to solve problems through insight provided by advanced data analytics.- Design and manage software projects using established computer applications and one-off coding endeavors (code hacking).- Enhance results through collaboration with subject matter experts.- Let the data talk: Transform the results told by the data into a human understandable story through visualizations and words.

Examine complex networks and develop methodologies for their analysis.

System and Data Base Administrator for a law enforcement Pick Systems based records system & responsible for all aspects of in-house software development including. Systems administrator for a Windows NT server. Integration of LAN with minicomputer. Created and maintained department's web site. Created and installed a multimedia touch screen public information system (Kiosk). Provided information systems security management. Budget and contract preparation. Trained personnel in the use of computer systems and crime analysis information. Managed and supervised a four member unit with an objective to provide high quality information system products and timely crime analysis. Researched, compiled and analyzed a variety of data from police crime reports and intelligence information. Presented information to the public through the news media, City Council meetings and public meetings. Disseminated forecasts to operational divisions to assist with resource allocation and planning.

General enforcement of city, county and state laws. Investigated crimes. Prepared reports for criminal prosecution. Intelligence Coordinator for SWAT (Special Weapons And Tactics) team.

Planned, created, documented and maintained a law enforcement records management system on a Pick Systems minicomputer. Researched, compiled and analyzed a variety of data from police crime reports and intelligence information. Disseminated forecasts to operational divisions to assist with resource allocation and planning. Developed new methodologies in the analysis and forecasting of the temporal aspects of crimes occurring at imprecisely known times. (As presented in the book Crime Analysis: From First Report to Final Arrest . Montclair, CA: Alpha Publishing. ISBN 0-9634773-0-7)

Doctor Of Philosophy - Phd, Computational Social Science

The core objective of the computational social science (CSS) PhD program is to train graduate students to be professional computational.

Master’S Degree, Interdisciplinary Studies, Computational Social Science

Computational Social Science is the interdisciplinary science of complex social systems and their investigation through computational.

Bs, Computer Science

Education record