Charles Barry Email and Phone Number

Valuation & Capital Market Analysis - Complex Financial Instruments- Project Management: Led a team of Data Scientists and Data Engineers to define, develop, and deliver mathematical and statistical modeling, machine learning algorithms, and systems for BDO’s proprietary LevelUp tool. Additionally, led similar efforts for commercial real estate data analysis, focusing on redlining and minority representation. - Client-Based Analytic Dashboards: Developed and produced client-based analytic dashboards integrated into custom HTML web applications, enhancing data visualization and user interaction.Technical Writing: Served as the technical writer for RFIs and RFPs, contributing to proposal development and client acquisition. - Data and Platform Innovation: Engaged with existing programs to coordinate data and platform innovation and automation, driving efficiency and enhancing capabilities.Model Implementation Framework: Extended the model implementation framework for various client applications, ensuring scalability and adaptability across different use cases. - Team Leadership: Managed goal setting, performance reviews, career development, and training for the team. Conducted 1-on-1 meetings, addressed performance issues, supported hiring and staffing activities, and participated in diversity and engagement events. Provided ad-hoc functional support as needed.

Government & Public ServicesProject Experience: - Leadership in MLOps: Led the MLOps team in deploying Data Science models at scale using Apache Spark and Apache Airflow. Ensured seamless integration and scalability of models across the organization. - Large-Scale Data Engineering and Data Science in Healthcare: Directed a team utilizing Google Cloud Platform for cloud analytics. Developed an automated ETL pipeline to process nearly 2 TB of data bi-monthly using Python, Dask for parallel computing, and Apache Airflow (Google Cloud Composer implementation) for task orchestration. This initiative reduced data processing time from two months to two weeks. - Automated Geo-Spatial Enrichment: Spearheaded the implementation of automated geo-spatial enrichment, producing driving distance models for relevant healthcare landmarks for affected individuals. This enhancement improved data quality and accessibility, integrating advanced ML QA/QC checks to ensure high standards of data integrity. - Optimized Disease State Models: Led the team in refactoring disease state models, optimizing runtime, and improving performance. Established a comprehensive model repository and implemented ML Ops best practices, including continuous integration and deployment, model versioning, and monitoring. - Successful Proposals for New Work: Secured over 10 proposals for new projects in the Data & Platform Innovation space, driving growth and expanding the scope of our team's impact.

Data Analyst II, Client Services DepartmentI was responsible for developing, implementing, and producing client deliverables for federal clients, as well as increasing levels of automation utilized in doing so. Utilizing SQL, Tableau, Python, and Excel, I created data-driven tools that were presented to clients, helping them identify improvement opportunities for large-scale government programs.I joined Managed Care Advisors in 2017, shortly after graduating from college, and worked there for nearly four (4) years.Key Achievements:- Program Metrics Development: Developed monthly, semi-annual, and annual program metrics for the World Trade Center Health Program, resulting in a 7% cost reduction from 2018 to 2019.- ROI Reporting Tool Implementation: Implemented a new return-on-investment reporting tool that established a standard quality measure for all clients and reduced production time by 90%. - Peer Mentor Program: Participated in the Peer Mentor program for new hires, designing an internal course for new analyst hires and guiding them through their first three months with the company. This initiative increased analyst retention by 60%.

At the National Human Genome Research Institute (NHGRI), I worked under Dr. Amadou Gaye, Dr. Sharon Davis, and Dr. Gary Gibbons. I applied mathematical skills to quantify and analyze genomic data. My key contributions included: - MH-GRID Data Analysis: Investigated severe hypertension within an African-American trial group to identify clinical predictors and potential gene variants. Our goal was to find early warning signs for hypertension and hypertension-induced kidney damage. - Exploration of Advanced Statistical Methods: Conducted comparative analyses of known machine learning and regression techniques, such as adjusted regression and random forest, with less-known methods like Efron's extension of the false-discovery rate. I contributed to a manuscript on these comparisons to identify the most effective methods for big data analysis.

During my tenure at the National Institute of Allergy and Infectious Diseases (NIAID), I had the privilege of working under Dr. Lori Dodd and Dr. Dean Follman. I gained extensive experience in applying mathematical statistics to clinical trials. My key contributions included: - Data Processing and Trial Design: Assisted in processing data and designing innovative clinical trials aimed at tackling the complexities of Tuberculosis. - Publication and Analysis: Contributed to a publication on Tuberculosis surrogate endpoint research, performing adjusted statistical analyses for ongoing Tuberculosis trials. - Ebola Special Issue: Played a key role in organizing and producing multiple submissions for a special issue publication focused on Ebola.

• Serviced clients’ needs akin to property leasing and renting• Gathered and analyzed information about markets and competition• Managed and processed paperwork corresponding to leasing agreements and applications• Supported company’s marketing and advertising efforts