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Data Analyst with 1+ years in Data Analytics & Machine Learning
A results-driven data analyst with a background in English Language and Literature, demonstrating a strong interest in technology and data-driven problem solving. Experienced in delivering high-quality work with accuracy and efficiency, skilled in research, communication, data interpretation, and attention to detail. Passionate about leveraging technology and insights to improve human living standards, with hands-on experience in Python (Pandas, NumPy, Matplotlib, Seaborn), SQL, Excel, and various machine learning techniques.
Federal University of Technology Minna
Bachelor of Technology · Geology
November 1, 2018 – February 1, 2025
Goodnews Secondary Grammar School
WASSCE Certificate
May 1, 2011 – June 1, 2017
Codveda Technologies Ltd
Data Scientist
December 1, 2025 – April 1, 2026
India
Technical Service and Equipment Solution Ltd
Soft Ware Engineer
July 1, 2025 – April 1, 2026
Nigeria
NestMetrics Ltd Uk
Data Analyst
May 1, 2025 – May 1, 2026
United Kingdom
Federal University Of Technology Minna
Research assistant
October 1, 2024 – January 1, 2025
Nigeria
Idealnovative Ltd
Data Analyst
December 1, 2023 – September 1, 2024
India
Forage Ltd, Deloitte Australia
Data Analyst Intern
September 1, 2023 – October 1, 2023
Australia
Analysis of a 30-property UK real estate portfolio
May 5, 2026 – June 9, 2026
Analyzed financial and housing datasets to identify trends, inconsistencies, and actionable insights for business decisionmaking. ◦ Conducted end-to-end analysis of a 30-property UK real estate portfolio, integrating financial, occupancy, maintenance, and tenant satisfaction data. ◦ Developed a reusable analytics pipeline in Python (Pandas, NumPy, Matplotlib, Seaborn) to calculate key metrics including Annual Gross Revenue, Occupied Revenue, Void Cost, Net Annual Yield, and Maintenance Cost Ratio. ◦ Designed and implemented a composite risk scoring model using Min-Max normalization and weighted KPIs to classify properties into High, Medium, and Low Risk tiers. ◦ Performed city-level portfolio analysis to evaluate revenue, yield, tenant satisfaction, and vacancy trends across London, Manchester, Bristol, Leeds, Birmingham, Edinburgh, and Glasgow. ◦ Built pricing intelligence models to identify overvalued and undervalued properties by comparing rents against city and property-type benchmarks. ◦ Conducted tenant churn analysis and quantified revenue exposure from high-churn properties, identifying that approximately 11.95% of portfolio revenue was associated with elevated churn risk. ◦ Estimated revenue recovery opportunities and demonstrated how proactive maintenance strategies could recover approximately £44,730 in lost income and generate additional management fees. ◦ Wrote and documented advanced T-SQL queries, including CTEs, window functions, DENSE_RANK(), CASE expressions, stored procedures, recursive CTEs, and views for portfolio reporting
View ProjectThe candidate scored 94% on the Data Scientist — Artificial Intelligence test, indicating a very strong command of the subject matter and excellent problem-solving abilities in this domain.
Strengths
Cultural Fit Analysis
The candidate's diverse project experience, including real estate portfolio analysis, machine learning model development, and even backend engineering, suggests adaptability and a broad interest in technology. The target role of Data Analyst aligns well with their primary experience at NestMetrics Ltd UK and Idealnovative Ltd, as well as the Deloitte internship. The blend of data analysis and data science skills indicates a proactive approach to learning and applying new techniques, which is a positive cultural fit for dynamic, data-driven environments.
Soft Skills & Operational Fit
The candidate's resume highlights strong organizational skills such as project planning, time management, strategic thinking, goal setting, and attention to detail. These are crucial for a senior data analyst role, indicating an ability to manage complex projects, meet deadlines, and contribute strategically to business objectives. The experience as a research assistant also suggests good communication and mentoring skills.
Limitations