Akeem Ajadi
Data Collector @National Centre for Social Research
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WORK HISTORY
Data Collector @National Centre for Social Research
GB
In my role as a Data Collector at NatCen, I have played a pivotal role in the successful execution of key social research projects by gathering accurate and reliable data through structured interviews. My contributions have provided critical insights that underpin policy decisions and social research.Participation in Major Surveys: Contributed significantly to the English Housing Survey (EHS), a primary source of information on housing circumstances, conditions, and energy efficiency in England. My work helped ensure that the data collected was both comprehensive and reliable, directly informing national housing policy.Skills and Education Survey: Worked on the Skills and Education Survey, a study examining working life in Britain today. The data I collected has been instrumental in providing researchers and policymakers with valuable insights into job trends and changes over time.Data Collection and Quality Assurance: Conducted face-to-face, telephone, and online interviews with participants, meticulously following structured questionnaires and interview guides. Ensured data completeness and accuracy.Contributing to Research Design: Provided actionable feedback to the research team on the effectiveness of interview questions, suggesting improvements based on firsthand field experiences. Participated in pilot testing to ensure questionnaires were understandable and effective.Efficient Data Handling and Confidentiality: Accurately recorded responses directly into data entry systems using sound data collection approaches. Handled participant data with strict confidentiality, adhering to all data protection and ethical guidelines.Logistics Management and Reporting: Coordinated and managed the logistics of interviews, including scheduling and travel arrangements. Regularly reported progress to the research team, highlighting any issues or challenges encountered to ensure smooth project execution.
EDUCATION
University of Bradford
MSc Big Data Science and Technology
The Federal polytechnic, Offa, Nigeria
National Diploma (ND)
University of Ilorin
Master of Science (M.Sc.)
University of Ilorin
Bachelor's degree
University of Ilorin
B. Sc
ABOUT AKEEM AJADI
I am a dedicated and experienced Data Analyst with a strong analytical mindset and excellent communication skills. I excel in problem-solving, adapting to challenges, and delivering insightful results on complex projects with meticulous attention to detail. Proactive in validating data to ensure its reliability, I enable strategic decision-making and lead the development and management of advanced Excel and Power BI dashboards. Additionally, I contribute to system and process improvements with my expertise in SQL, Python, and data science. Currently, as a freelance Research Interviewer at the National Centre for Social Research, I am a key member of the data analytics team, responsible for the collection, organization, manipulation, and analysis of large datasets. My role involves developing data solutions to meet the institution’s business requirements, applying advanced analytical approaches, and effectively presenting data to stakeholders. One of my significant achievements includes the development of a robust cost-per-enrollment system for various marketing channels, which enabled the institution to allocate resources more effectively. This initiative led to a 21% reduction in costs and a 14% increase in revenue. Additionally, I created predictive models to forecast the likelihood of candidate acceptance or success, significantly speeding up the application assessment process and optimizing resource allocation by filtering out candidates who did not meet the criteria, thereby reducing both time and human resources. Key Responsibilities: Database Management: Creating, storing, retrieving, modifying, and manipulating database structures such as tables, indexes, and views in relational databases using SQL. Data Storytelling: Curating and presenting data in a form that highlights trends and outliers, aiding in the understanding of customer behavior and performance tracking through various visualization tools in Excel and Power BI. Data Manipulation and Transformation: Utilizing DAX in Power BI for data manipulation and employing Power Query for seamless data extraction, transformation, and loading, supporting the development of Tabular models. Advanced Analytics: Applying machine learning and data mining techniques to extract insights from large datasets, and conducting exploratory data analysis (EDA) with Python in real-world business scenarios, particularly in risk analytics for banking and financial services. Model Optimization: Designing scientific tests and optimizing model performance using cutting-edge modeling technologies.
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