Data Analyst Quality

Eferhire Aganbi-Okome

*** ********* **, ******, **, United States, 470708125 *******@*****.***

PROFESSIONAL SUMMARY

Analytical and detail-oriented Data Analyst with strong programming skills in Python, R, SQL, and MATLAB, and a proven track record of designing, developing, and optimizing data-driven solutions. Skilled at collaborating in cross-functional teams, interpreting technical requirements, and delivering high-quality code and analytical models. Adept at transforming complex datasets into actionable insights to drive decision-making, with experience in software development lifecycles, statistical modeling, and data visualization. Eager to apply strong problem-solving and coding expertise to build innovative, scalable software solutions within a collaborative environment. TECHNICAL SKILLS

• Programming & Development: Python, R, MATLAB, SQL, JavaScript (beginner), Git, API Integration

• Data & Analytics: Data Analysis, Data Visualization (Power BI, Tableau), Predictive Modeling, Statistical Analysis, Data Structures, Algorithms

• Software Tools & Methodologies: Agile/Scrum, CI/CD basics, Process Automation, Cloud Exposure (AWS, Azure), Version Control

• Research & Problem Solving: Experimental Design, Research Protocol Development, Requirements Analysis, Technical Troubleshooting

RELEVANT EXPERIENCE

Process Analyst / Co-op Training, Process Engineering & PAT Atrium LLC, Contracted at GSK, Collegeville, PA. Jun 2023 - Jun 2024

• Designed and implemented automated data collection and analysis workflows using Python, R, and MATLAB, improving reporting efficiency by 20%.

• Developed and maintained analytical tools to support process monitoring and drug product development, applying statistical modeling and process automation principles.

• Conducted technical troubleshooting, improving data accuracy and instrument performance in line with GMP standards.

• Presented findings and technical insights to senior leadership, ensuring actionable outcomes from data-driven recommendations.

Graduate Research Assistant, Business & Healthcare Analytics Georgia State University, Atlanta, GA Aug 2021 – Aug 2023

• Delivered 10+ analytics projects, including 5 business and healthcare sprints, applying Python, SQL, and R to analyze datasets, identify trends, and generate actionable insights.

• Built and optimized dashboards and reporting systems to support decision-making, reducing reporting time by 25%.

• Applied agile methods to collaborate with multidisciplinary teams and enhance project delivery timelines. Senior Lecturer/Academic Researcher

Delta State University, Abraka, NG Sep 2011 - Aug 2021

• Designed and executed research projects involving complex datasets, applying data mining and analysis techniques to evaluate scientific hypotheses.

• Published 36 peer-reviewed scientific papers with 300+ citations, demonstrating expertise in technical documentation and communication.

• Mentored students and junior researchers in experimental design, programming basics, and data analysis. EDUCATION

M.S., Data Science and Analytics

Aug 2023

Georgia State University, Atlanta, GA

Ph.D., Microbiology Apr 2008

University of Essex, Colchester, UK

M.S., Biotechnology Nov 2002

University of Essex, Colchester, UK

B.S., Biochemistry Jun 1997

Delta State University, Abraka, NG

PROJECT HIGHLIGHTS

• Automated Data Pipeline (Python, SQL): Developed an ETL pipeline to process and visualize lab data in real time, cutting reporting time by 40%.

• Predictive Analytics for Healthcare Data: Created predictive models to identify at-risk patient groups using R and Logistic Regression, improving targeting for interventions.

• Image Data Analysis Tool: Implemented Python- and MATLAB-based image processing scripts for pharmaceutical product inspection.

CERTIFICATIONS & TRAINING

• AWS Cloud Practitioner (in progress)

• Data Structures and Algorithms (Coursera)

• Agile Foundations

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