Data Analyst Power Bi

Eferhire Aganbi-Okome

Summary

Highly skilled Data Analyst with 10+ years in data research, analysis, and generating actionable insights. Proven ability to analyze complex datasets, utilize statistical techniques, and develop data analytics reports using business intelligence tools like Tableau, Power BI, and SAS. Adept at managing full-cycle data projects from acquisition and cleaning to visualization and reporting.

Led 10+ data analytics projects focused on descriptive and predictive insights, improving organizational outcomes, and supporting strategic goals.

Experience working on healthcare-related projects, utilized NVivo, Rayyan, and libraries in R and Python in studies that explored trends in US IT health policies and IT for mental health over time, submitted well-received data analytics-related reports to internal and external stakeholders.

Published 30+ research papers demonstrating the ability to derive and communicate meaningful insights from large, multifaceted datasets.

Work Experience

Data Analysis, Data Collection, Methodology Development and Evaluation, Statistical Analysis, Communication Skills, and Collaboration Skills

Gained as Scientist, Process Engineering & PAT at GSK

Developed and maintained databases for tracking experimental results, ensuring data integrity and accuracy, and improved data processing efficiency by 15%.

Analyzed large datasets from analytical techniques such as HPLC, Raman, GC-MS, and more, and drew conclusions on key factors impacting pharmaceutical R&D manufacturing processes, demonstrating the ability to analyze data from multiple sources.

Leveraged Python, R to perform data analysis, including statistical analysis, hypothesis testing, and predictive modeling, to identify and interpret trends/patterns in complex datasets, and presented findings to project teams.

Data Cleaning, Data Quality Assessment, Predictive Modeling, Data Visualization, Working with Large Datasets, Machine Learning Algorithms Skills,

Gained as Graduate Research Assistant at Georgia State University, Institute for Insight

Analyzed healthcare-related and business datasets using machine learning algorithms (e.g., regression, log-regression, clustering, predictive modeling) and statistical analysis, drew conclusions on trends/patterns, and presented findings in reports and visualizations.

Developed reports that incorporated interactive story maps and dashboards using tools like Tableau, Power BI, Google Analytics, Adobe Analytics, and SAS, resulting in a 10% increase in data transparency and insights generation.

Created interactive story maps and dashboards using visualization tools like Tableau, Power BI, Google Analytics, Adobe Analytics, and SAS to communicate complex data to stakeholders.

Education

Master of Science in Data Science and Analytics

Georgia State University, Atlanta, GA

Courses completed: Statistical Modeling, Database Management, Data Visualization, Data Programming, Machine Learning for Business, Predictive Modeling, Deep Learning, and Scalable Analytics

Bachelor of Science in Biochemistry

Delta State University

Skills List

Data Analysis

Machine Learning Algorithms

Neural Networks

Attention to Detail

Adaptability

Data Visualization

Business Data Interpretation

Generative AI

Data Mining

Data Joining

Report Generation

Generative AI

Collaboration

Descriptive Analytics

Data Collection

Communication

Business Intelligence (Tableau, Power BI, SAS)

SQL, R, Python

Analytical Thinking

Predictive Modeling

Microsoft Office Suite (Word, Excel, PowerPoint)

Affiliations & Hobbies

Exercise walking, dancing, and cooking

Volunteer Community Educator, Alzheimer’s Association, Greater Maryland Chapter

Towson, MD 21204

470-***-****

*******@*****.***

https://www.linkedin.com/in/eferhire-aganbi/

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