Segun Damilare Adeniran

I conducted thorough data cleaning, transformation, and validation to ensure the integrity and reliability of clinical datasets used for analysis and reporting.

I extracted and structured data from Electronic Health Records (EHRs) such as Epic and Cerner, enabling real-time decision support and operational insights.
I developed and optimized complex SQL queries to retrieve, filter, and aggregate healthcare data for performance monitoring, compliance, and financial analysis.

I created interactive dashboards and visualizations using Power BI and Tableau to present key metrics to clinical teams, hospital leadership, and external stakeholders.
I implemented automated reporting workflows that reduced manual documentation, improved data accuracy, and accelerated delivery of insights.
I integrated data from multiple sources—including lab systems, pharmacy databases, and patient registries—to build unified views for strategic analysis.
I analyzed trends in patient outcomes, treatment effectiveness, and clinical workflows to identify opportunities for evidence-based improvements.
I collaborated with physicians, nurses, and administrators to translate clinical needs into actionable data solutions and reporting tools.
I supported predictive modeling initiatives, including readmission risk and length-of-stay forecasting, to enhance proactive care planning.
I ensured compliance with HIPAA and internal data governance protocols by applying strict standards for data access, anonymization, and audit trails.
I investigated data anomalies and operational inefficiencies, delivering insights that led to measurable improvements in care delivery and resource utilization.
I trained healthcare staff on data entry best practices and dashboard usage, empowering teams to engage with data confidently and accurately.
I partnered with IT and informatics teams to improve data infrastructure, enhance interoperability, and support EMR optimization efforts.
I contributed to strategic planning by analyzing resource utilization, staffing patterns, and patient flow across departments.
I led ad hoc and longitudinal studies on clinical interventions, patient satisfaction, and health equity to support hospital-wide initiatives.

I source data from internal systems, APIs, and external databases, applying rigorous preprocessing techniques to ensure accuracy, consistency, and readiness for analysis.

Using SQL, Excel, and Python, I uncover trends, correlations, and anomalies that inform product development, marketing strategies, and operational improvements.

I design and maintain dynamic dashboards in Tableau and Power BI, tailored for diverse stakeholders—from frontline teams to C-suite executives—enabling real-time performance monitoring.

I craft compelling reports that distill complex findings into clear, actionable recommendations. I present insights to cross-functional teams and senior leadership to guide strategic decisions.

I support the development and optimization of ETL pipelines using Snowflake and Python, ensuring efficient data flow and timely access to analytics-ready datasets.

I collaborate with data engineers, product managers, and business analysts to align data initiatives with organizational goals. I also mentor junior analysts, fostering a culture of growth and excellence.

I stay ahead of the curve by expanding my expertise in Python, Tableau, Power BI, and cloud-based platforms, continuously enhancing my analytical capabilities.

My work informs key decisions in customer segmentation, campaign performance, financial forecasting, and operational efficiency—contributing directly to revenue growth and cost optimization.

Collected data from Sales Representatives, Marketing, and Finance departments to establish the organizational structure and generate comprehensive reports.Wrote SQL queries to gather data from multiple tables using JOINs, subqueries, correlated subqueries, and derived tables on the SQL Server platform.
Developed and optimized SQL queries using advanced techniques such as EXPLAIN, STATISTICS, CAST, volatile tables, aggregate functions, GROUP BY, and OLAP (Online Analytical Processing) functions.
Compiled and presented detailed reports to management for accurate interpretation and effective utilization of data.
Organized and disseminated data across departments to support the achievement of departmental goals.
Proposed innovative ideas and strategies to increase revenue and boost company sales.

Utilized Microsoft Excel to collect, clean, and organize large datasets for senior analysts and management reporting.
Ensured timely delivery of multiple projects by tracking milestones, managing schedules, and coordinating with cross-functional teams.

Generated detailed reports and dashboards to support strategic decision-making and performance tracking.
Managed secure sharing of over 3,000 data files across departments, ensuring accuracy and confidentiality.
Acted as a liaison between technical teams and senior management to relay insights and updates effectively.
Identified inefficiencies in data workflows and implemented improvements to enhance productivity and reduce turnaround time.
Maintained data integrity and ensured compliance with internal standards and industry regulations.
Provided analytical support by preparing summaries, charts, and visualizations for presentations and reviews.
Worked closely with engineering, operations, and finance departments to align data efforts with business goals.
Assisted in onboarding new team members and shared best practices for data handling and project execution.