• Develop deep learning algorithm to group incoming alerts into a larger incident and help engineers on call get paged less.• Build out near real-time pipeline to classify incoming generic API events back to known monitoring tools by pulling events from Kafka and using Spark Structured Streaming to parse and classify them.• Apply Data Science to develop proof of concept ideas for product and business operations including helping Sales Ops predict month-end closing deals, applying sentiment analysis to social media, developing network diagram of customers’ services and their relationships.

• Led a small team of BI engineers to build out and maintain the BI infrastructure and tools.• Helped the Data Engineering team with new ETL jobs, implementing data warehouse design for faster analytics, and enabling easy business user access to data.• Worked closely with Executives, Product, Marketing, Support, and Sales to gather their data and dashboard requirements, as well as develop a consistent KPI framework for each, and then help them develop the reports and KPIs they need.

• Designed and implemented data warehouse models on Birst BI platform, as well as provide mentoring and create user guides for clients. • Built and maintained Amazon Web Services database architecture, including setting up Simple Workflow, integrating a Master Data Management solution, and creating Extract Transform and Load scripts for Redshift.• Designed, developed and maintained new and current Business Intelligence products. • Analyzed data to drive key business decisions. • Managed projects with vendors and clients to ensure tasks and project are accomplished on time. • Led meetings with vendors, clients and team members.

• Designed, developed and maintained new and current Business Intelligence products. • Analyzed data to drive business decisions. • Designed and implemented data warehouse models, as well as communicate with clients for troubleshooting issues. • Managed projects with vendors and clients to ensure tasks and project are accomplished on time. • Led meetings with vendors, clients and team members.

• Developed new methods of analyzing numerical data representing gene expression in cancer cells of patients with Acute Myeloid Leukemia (AML). • Determined whether the ratio between certain cell types will correlate with the patient reaction to chemotherapy and overall survival rate. • Modeled the interaction between these cell types. • Advanced the progress of a Bayesian network approach to modeling protein signaling pathways.

• Participated in research on urban sustainability funded by the National Science Foundation. • Applied multivariable regression analysis to determine significant relationships between urban growth and pollution. • Investigated power law trends of carbon dioxide emissions in metropolitan areas both in the United States and worldwide as part of the original work on urban sustainability of Profs. G.West and L. Bettencourt. • Communicated with domestic and international agencies, such as DOE, EPA and CDIAC, to gather critical and scarce information for research. • Prepared material for publication in peer reviewed journal.

• Worked in accounts payable, analyzed spreadsheets for balancing accounts and paying hospital bills and doctors. • Organized materials for regional meetings, thus developing project planning and time management skills. • Participated in multi-disciplinary work across many departments at MedAmerica.

• Assisted customers in processing monetary transactions, resolved account and safety deposit box issues, initiated and implemented new record-keeping system for safe-box keys and files that increased customer satisfaction and expedited transactions that became routinely used.