Abia State University, Uturu

Laboratory Assessment
•	Demonstrated exceptional proficiency in collecting, processing and preserving biological specimens according to established protocols, resulting in a 99% sample integrity rate.
•	Implemented a more efficient sample labelling system, reducing errors by 15% and enhancing workflow.
•	Conducted a comprehensive range of microbiology tests encompassing microbial culture and analysis, antibiotics sensitivity, biochemical characterization, etc.
•	Collaborated with a cross-functional team to develop a streamlined data entry/record process, reducing data entry/record time by 20%.
•	Ensured the validity and accuracy of laboratory results through rigorous quality control checks,
maintaining a 98% accuracy rate in test outcomes.

2. Data Collection and Analysis:
•	Employed Microsoft Excel for data preprocessing and data cleaning.
•	Utilized advanced statistical analysis tools, such as Python, Microsoft PowerBI, Tableau and Jamovi for in-depth data analysis, revealing critical insights and improving data reporting efficiency.
•	Enhanced data accuracy and reduced processing time by 20% through automation and streamlined data collection methods.
•	Developed interactive data visualizations to facilitate data-driven decision-making.

Medical Laboratory Assistant/Data Analyst

Sokoto State Water Board

1. Water Quality Monitoring:
•	Utilized laboratory equipment, including spectrophotometers and titration systems, to ensure the precision and accuracy of water sample testing results.
•	Achieved a 98% accuracy rate in water quality assessments, contributing to safe and reliable water supply.
•  Performed microbial analyses on water samples, including the detection of coliforms, E. coli, faecal Streptococci, Enterococci, and other indicators of faecal contamination.
•  Knowledgeable about regulatory standards and guidelines governing water quality.

2. Data Collection and Analysis:
•	Gathered data from diverse sources within the water treatment plant.
•	Employed Microsoft Excel for data preprocessing and data cleaning.
•	Utilized advanced statistical analysis tools, such as Python (pandas) and Tableau, for in-depth data analysis, revealing critical insights into water treatment processes.
•	Developed interactive data visualizations to facilitate data-driven decision-making for optimizing water treatment processes and ensuring water quality.

Quality Control Analyst

Covenant University

1. Specimen Collection/Preparation/Analysis/Storage:
•  Collected, prepared, and stored various biological specimens, ensuring sample integrity and reliability.
•  Performed a wide range of biomedical tests, including hematology, microbiology, chemistry, and immunology assays, contributing to accurate patient diagnoses and treatment.
•   Skilled in operating and maintaining advanced laboratory equipment, including automated analyzers.

2. Data Collection and Analysis:
•	Employed Microsoft Excel to efficiently preprocess and cleanse data, ensuring data integrity and accuracy.
•	Proficiently created detailed reports and compelling visualizations using software such as Microsoft Excel and PowerPoint. 
•	Enhanced data communication by developing interactive dashboards, resulting in a 20% improvement in the accessibility and clarity of critical laboratory information.

Medical Laboratory Intern/Data Analyst

Biomedical Science Student at the University of Chester | Data Analyst | SQL | Tableau | Microsoft 365/Power BI | Looking for Entry Level Roles

I am a dedicated Data Analyst passionate about turning raw data into actionable insights. With a strong background in data analysis, I assist organizations in informed decision-making and operational optimization. I am currently pursuing an M.Sc. in Biomedical Science at the University of Chester and am skilled at:

- Data Analysis: Proficient in data cleaning, statistics, and modelling.
- Data Visualization: Skilled in creating impactful data representations.
- SQL and Database Query: Experienced in efficient database management.
- Data Storytelling: Communicating findings effectively.
- Data Privacy and Security: Upholding data standards.

Tools:
Tableau, Excel, SQL Server, Power BI, Python, Microsoft Office apps, Biomedical Research

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