Help & Supportcareers@gravityer.com
Data Analyst with 1+ years in healthcare analytics and interactive dashboard development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with proven expertise in Excel, Power BI and SQL, specializing in healthcare analytics. Demonstrated ability to analyze complex datasets (60K+ records), build interactive dashboards, and deliver actionable insights that drive operational improvements. Strong background in data collection, validation, and visualization with experience in disease surveillance and patient care analytics
Ladoke Akintola University of Technology
Bachelor of Technology · Microbiology
N/A – June 30, 2024
NIGERIA CENTRE FOR DISEASE CONTROL AND PREVENTION (NCDC)
Graduate Intern, Data & Research Analyst
December 1, 2024 – December 1, 2025
Lagos Island, Lagos State, Nigeria
SALES & ORDER DATA ANALYSIS (SQL)
April 1, 2026 – April 1, 2026
Queried and analyzed sales data using SQL to identify revenue trends and top-performing categories Used JOIN to combine customer and order datasets Aggregated data using GROUP BY, SUM() and COUNT() to evaluate performance metrics Identified high-revenue categories exceeding $500,000 using HAVING Analyzed order status to compare returned vs completed orders
HEALTHCARE PATIENT MANAGEMENT DASHBOARD
February 1, 2026 – February 1, 2026
Built a 4-page Power BI dashboard analyzing 62,561 patient visits to optimize hospital operations and improve patient care delivery Transformed and processed healthcare data using DAX and data modeling to track treatment pathways, insurance utilization, and care outcomes Identified key operational insights: Medicare accounts for 30% of visits, medication is primary treatment for 40% of patients, 50% discharged home Designed interactive visualizations with drill-down capabilities to enable stakeholders to explore patient volume trends and emergency care metrics
HOSPITAL PATIENT & REVENUE ANALYSIS
January 1, 2026 – January 1, 2026
Analyzed 2,000 patient records and 8,000 claims using Excel to identify improvement opportunities in patient care and revenue optimization Built dual dashboards tracking vital signs, clinical risk factors, revenue trends, and insurance utilization using pivot tables and advanced formulas Identified $13M in outstanding receivables and discovered 27.3% hypertensive and 18.7% diabetic populations requiring targeted care programs Designed interactive visualizations with conditional formatting and slicers to enable data-driven decision-making for healthcare stakeholders
POLICE DEPARTMENT CRIME ANALYSIS DASHBOARD
December 1, 2025 – December 1, 2025
Analyzed 60,000 criminal incidents using Excel to identify crime patterns, hotspots, and trends for law enforcement resource allocation Created interactive dashboards with heatmaps and time-series analysis to visualize crime distribution across time, location, and demographics Identified peak crime hours (2 PM, 12PM, 8 PM) accounting for 41.7% of all crimes and discovered 71% of crimes occur on weekdays Aggregated and visualized data using pivot tables and advanced charts to provide actionable insights for crime prevention strategies
Cultural Fit Analysis
The candidate's projects span various domains including sales, healthcare, and crime analysis, indicating adaptability and a broad interest in applying data analysis skills to different problems. The internship at NCDC further highlights an interest in public health and research, which could be a strong fit for organizations with a social impact mission or those in the healthcare sector. However, the candidate's experience level is entry-level (1 year), which might require more mentorship and integration into a senior team's workflow. The lack of team-based projects or collaborative work experience makes it difficult to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
The candidate demonstrates a structured approach to data analysis, evidenced by their project descriptions detailing steps from querying to visualization and insight generation. Their experience in disease surveillance suggests an ability to work with sensitive data and follow rigorous data quality protocols. The focus on identifying actionable insights indicates a results-oriented mindset. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.