Agricultural Data Analysis Project
→
Summary
An independent project focused on analyzing agricultural data to evaluate communication strategies and identify yield trends.
Detail-oriented and analytical professional with over two years of experience in data management and administrative support across automotive and research sectors. Adept at leveraging Microsoft Excel, SQL, Python, and SPSS for accurate data processing and actionable insights. Passionate about transforming raw data into clear visualizations and actionable intelligence, actively pursuing certifications in data analytics to deepen expertise. Eager to apply precision and efficiency to a data-driven role, contributing to enhanced decision-making and operational excellence.
Data Entry Clerk (Part-Time)
Osogbo, Osun, Nigeria
→
Summary
Managed comprehensive sales, repair, and maintenance data for over 300 customer transactions, improving reporting efficiency and accuracy for an automotive service provider.
Highlights
Managed and meticulously entered sales, repair, and maintenance records for over 300 customer transactions in Excel, ensuring data accuracy and accessibility for reporting.
Streamlined digital document management by organizing invoices and receipts into categorized folders, significantly improving record retrieval efficiency.
Developed and implemented a basic SQL database to efficiently track inventory and customer service history, improving the accuracy and speed of sales reporting.
Administrative Support Intern
Akure, Ondo, Nigeria
→
Summary
Supported agricultural extension studies by inputting and analyzing research data, ensuring timely report generation for faculty review.
Highlights
Processed and accurately inputted research survey data from 150 respondents into Excel and SPSS, providing critical data support for agricultural extension studies.
Contributed to data interpretation by generating summary reports using Excel PivotTables, consistently meeting weekly deadlines and facilitating timely faculty review.
Rapidly learned and adapted to internal data management software, ensuring strict confidentiality and integrity of sensitive research records.
→
B.Agric Tech
Agricultural Extension and Communication Technology
Courses
Statistical Analysis
Research Methodology
Agricultural Technology Applications
Issued By
University of California Davis, Coursera
Issued By
Coursera
Microsoft Excel, SQL, SPSS, Data Entry, Data Cleaning, Statistical Analysis, Research Methodology, Data Accuracy.
Python.
Tableau, Power BI, Python Libraries.
Typing (65 WPM), Document Management, Record Keeping.
Attention to Detail, Time Management, Problem-Solving, Communication, Adaptability.
→
Summary
An independent project focused on analyzing agricultural data to evaluate communication strategies and identify yield trends.
→
Summary
An independent project compiling and analyzing performance statistics from the 2023-24 English Premier League season.
→
Summary
An independent project focused on organizing and managing student enrollment data to improve retrieval efficiency.
→
Summary
An independent project focused on recording, categorizing, and analyzing household spending patterns.
→
Summary
An independent project involving the compilation and analysis of market survey responses from local vendors.