ABIGAIL AGUNBIADE
Colchester,Essex
Summary
Results-driven and detail-oriented data analyst with a passion for leveraging data to drive strategic decision-making. Proven expertise in data management, advanced data analysis, and data visualisation. Skilled in performing complex diagnostic tests, cleaning and transforming data, and generating actionable insights. Proficient in troubleshooting data issues and implementing effective solutions. Experienced in creating compelling data visualisations, writing comprehensive reports, and delivering engaging presentations to convey complex findings to both technical and non-technical stakeholders. Adept at coordinating and managing teams, validating data accuracy, and ensuring adherence to quality standards. Possess excellent analytical, organisational, planning, communication, and time management skills. Seeking a challenging role in data science/analysis to apply my expertise in advanced analytics, machine learning, and data visualisation to extract actionable insights. Committed to delivering innovative solutions and optimising business performance through data-driven strategies.
Overview
8
8
years of professional experience
4
4
years of post-secondary education
1
1
Certification
Work history
Biomedical Scientist
Nottingham University Hospital
04.2018 - 01.2023
- Analysed and interpreted large-scale datasets using statistical techniques and machine learning algorithms.
- Developed and implemented data-driven models to identify trends and patterns in patient data, contributing to evidence-based decision-making
- Collaborated with interdisciplinary teams to design and conduct research projects, applying advanced statistical methods for data analysis
- Communicated complex findings and insights to non-technical stakeholders effectively, ensuring data-driven recommendations were understood and acted upon
- Maintain and organise confidential records, adhering to strict privacy and security regulations
- Perform audits and complete quality assurance processes to ensure compliance with international standards and best practices
- Utilise data analysis techniques to identify opportunities for service improvement, contributing to enhanced operational effectiveness and customer satisfaction.
- Proactively correct data entry errors to minimise future issues and maintain data accuracy and integrity
- Assist in the supervision and training of junior staff, providing guidance on data analysis techniques and protocols.
Medical Laboratory Assistant
Nottingham University Hospital
01.2017 - 04.2018
- Demonstrated strong data management skills in collecting, organising, and quality-assuring laboratory datasets for effective analysis and actionable insights
- Utilised Excel and data entry tools to ensure accurate and reliable data recording.
- Assisted in the development and implementation of standardised procedures for data capture and reporting, enhancing data integrity and consistency.
- Conduct regular maintenance activities on analysers to ensure optimal performance and accuracy of data generation.
Administrative Assistant
ALS Environmental
06.2016 - 01.2017
- Provided exceptional customer service while managing customer accounts and orders.
- Analysed customer data using Excel and database systems, identifying patterns and trends to enhance business operations
- Developed streamlined processes and improved data management practices, resulting in increased efficiency and customer satisfaction.
- Proficiently extract geospatial information related to van drivers to analyze and optimize the estimated time of specimen bottle delivery.
Research Analyst
Nuffield Science
08.2015 - 09.2015
- Conducted research projects involving data collection, cleaning, and statistical analysis.
- Utilised advanced statistical software (SPSS, Excel) to derive meaningful insights and develop predictive models.
- Presented research findings in clear and concise reports, effectively communicating complex information to diverse audiences.
Research Assistant
Cambridge Scientific Solutions
09.2014 - 07.2015
- Investigated the impact of the company's electromagnetic technology on biofilm formation by designing and executing diverse experimental protocols, collecting and organising relevant data for analysis
- Conducted data cleaning and preprocessing to ensure data quality and preparedness for advanced analysis techniques
- Employed statistical analysis methods such as Excel, SPSS, and ANOVA to analyze the collected data, extract meaningful insights, and draw conclusions.
- Successfully aligned project targets with key performance indicators (KPIs), employing data-driven strategies to maximise team performance and drive results.
Education
Master of Science - Applied Data Science
University of Essex
Colchester, Essex 01.2023 -
Bachelor of Science - Biomedical Science
Coventry University
Coventry 09.2012 - 11.2016
Skills
- Proficiency in Programming language: Python, R
- Strong knowledge of Structured query learning (SQL) and database management
- Data visualisation and storytelling using PowerBI
- Statistical modelling and hypothesis testing
- Solid understanding of Machine learning algorithms and techniques
- Proficiency in Microsoft Office (Excel, Word, PowerPoint)
- Data cleaning, manipulation and transformation
- Data mining and pattern recognition
- Research methodology and experimental design
- Strong reporting and presentation skills
- Project management and coordination
- Excellent problem-solving and critical thinking abilities
- Quality assurance and Regulatory compliance
Interests
- Passion for sports, especially athletics and basketball.
- Enjoy travelling, meeting new people, and learning about new cultures.
- Love baking and participating in charitable work.
Certification
- Cousera: Google Data Analytics.
- Udemy: Microsoft PowerBI Desktop for Business intelligence
Projects
- Data visualisation: Analysis of Crimes in Dallas in 2016
- Dashboard: Used Microscoft PowerBI to develop Business intelligence report for AdventureWorks Cycle.
- Machine Learning: Predicted contraceptive method choices using machine learning algorithms.
- Text Analytics: Conducted sentiment analysis and utilised odds ratio for in-depth text analysis.
- Data Analysis: Employed linear regression modeling to analyse the biodiversity of species.
Timeline
Master of Science - Applied Data Science
University of Essex
01.2023 -
Biomedical Scientist
Nottingham University Hospital
04.2018 - 01.2023
Medical Laboratory Assistant
Nottingham University Hospital
01.2017 - 04.2018
Administrative Assistant
ALS Environmental
06.2016 - 01.2017
Research Analyst
Nuffield Science
08.2015 - 09.2015
Research Assistant
Cambridge Scientific Solutions
09.2014 - 07.2015
Bachelor of Science - Biomedical Science
Coventry University
09.2012 - 11.2016
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