BI developer

The National Health Service is the publicly funded healthcare system in England, and one of the four National Health Service systems in the United Kingdom.

• Responsible for creating meaningful insights from study records across various platforms and analyzing trends and patterns.

• Designing and implementing data integration strategies for projects requiring multiple medical data sources by leveraging ETL tech stack.

• Developing and maintaining data warehouses to support project specific reporting and analytics

• Leveraging Tableau and Power BI in the creation of interacting reports and analytical dashboards for reporting indicators and monitoring KPIs.

• Creating data models that reflect specific needs of healthcare analytics.

• Conducting routine ad-hoc data analysis to address specific healthcare questions and challenges.

• Routinely optimizing the performance of BI solutions to ensure real-time or near real-time access to healthcare data.

• Responsible for creating meaningful insights from study records across various platforms and analyzing trends and patterns.

• Created data reports and visualizations to communicate findings to the university’s leadership and others effectively stakeholders.

• Developed and implemented data-driven strategies to improve the university’s process and outcomes.

• Routinely analyzed structured and unstructured data from student feedback across multiple platforms and conducting sentiment analysis to foster targeted interventions.

• Facilitated collaboration with other university departments and stakeholders to ensure data accuracy and consistency.

Maryland Global Initiative Corporation is a health-oriented informatics organization owned by the University of Maryland Baltimore.

• Led teams to build out Data & Analytics platforms to support country-wide digital transformations. This includes data warehousing, building data pipelines to aid data migration, data quality assurance, building reports to monitor epidemic control.

• Mentored and coached 6 analysts on best practices around SQL, Power BI, Databricks & Python. Set goals and development plans for team members to ensure career growth.

• Developed SQL data validations for the Nigeria Data Repository (NDR), improving data ingestion and data quality.

• Developed quarterly and semi-annual HIV data reports from country-wide data across various funding mechanisms, spanning over 20 million observations.

• Built ML clustering models to segment clients based on Viral load and CD4 count, informing targeted interventions in 19 states.

• Built ML classification models to predict clients likely to fall out of the care continuum using historic health data.

• Led the technical implementation and post-routine data collection analysis and visualization of the Nigerian HIV Recency Surveillance.

• Automated generating Viral load turnaround time reports from historical and real-time data.

Maryland Global Initiative Corporation is a health-oriented informatics organization owned by the University of Maryland Baltimore.

• Managed all Health Informatics related projects, providing the Health Informatics team with the domain knowledge to facilitate effective disposition of all service requests as well as reviewing client’s business requirements (CBR), business problem statements and creating business functional requirements (BFR)

• Led the OpenMRS community of practice in designing and implementing in-country-specific solutions and strengthening country-wide health systems.

• Led data migration implementation from legacy Electronic Medical Record Systems (EMR) to the Nigerian Medical Record System (NMRS) and conducted post-data migration audits and validations.

• Scoped, designed, facilitated development and deployment of the NMRS commodity tracking system across 19 states.

• Led routine NDR implementation as required by CDC & USAID implementing partners and ensured acceptance and success criteria were achieved.

• Built automated facility custom reports that improved data request turnaround time by 50% and reduced manpower by 30%.