Alexander Agbu-
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GitHub
Alexander Agbu
United Kingdom
Publications
Professional Summary
I am a technically and commercially astute Data Scientist with a proven track record of delivering end-to-end
projects across diverse sectors, including Real Estate, Blockchain, Energy, and Telecoms. I excel in collaborating
within cross-functional teams, consistently ensuring high-quality results and maintaining meticulous control over
project scope. Highly passionate about leveraging data-driven insights and innovative solutions, I strive to drive
positive change in an ever-evolving technological landscape, enhancing business operations and improving lives.
Professional Areas:
• Data Science- (Python, R, SQL, PostgreSQL)
• Data Analysis- (Data Exploration, Presentation, Data Engineering, Data Collation, Excel)
• Data Visualization- (R programming, PowerBI, Seaborn, matplotlib, Tableau)
• Machine Learning- (Regression, Clustering, Classification, ANOVA, Natural Language Processing)
• Cloud Analytics- (Oracle, AWS, AZURE)
• Space Tech – (ArcGIS, ERDAS IMAGINE, ENVI, Google Earth Pro)
Education
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Masters in Data Science
University of Salford 2024
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Nanodegree in Programming in Data Science
Udacity 2023
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Bachelors in Electrical Electronics Engineering
Madonna University 2014
Training
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Kaggle BIPOC Mentorship Program in Data Science
Oracle Cloud Data Management Certified Foundations Associate
Udacity- (GIT, Python, PowerBI, SQL, Machine Learning)
AWS and AZURE
Google Professional Data Analytics
Remote Sensing Satellite Image analysis with ENVI
Synthetic Aperture Radar Technology
People Management
Professional Experience
Data Scientist– Notting Hill Genesis
Jan 2024 to May 2024.
Overview: One of the leading housing associations in the United Kingdom, specializing in real estate
development, management, and affordable housing solutions
• Spearheaded a machine learning initiative to predict the risk level of tenants falling into arrears,
enhancing the organization's ability to proactively manage financial risks.
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Worked alongside senior data scientists and multidisciplinary teams to develop a sophisticated model
aimed at analyzing and reducing tenant complaints, thereby improving overall customer satisfaction.
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Analyzed internal company data to uncover patterns and insights from large datasets, identifying a
significant financial gap caused by tenant arrears.
Data Science Intern – Kaggle BIPOC
Aug 2023 – Nov 2023
Overview: Selected for a prestigious Kaggle program designed to train and mentor aspiring Data Scientists from
underrepresented communities.
• Engineered a predictive model achieving 80% accuracy to forecast customer churn in the Telecom sector,
enabling proactive retention strategies.
• Designed and developed dynamic, data-driven dashboards using Power BI to effectively communicate
key insights and trends.
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Executed complex database queries to extract and analyze data, providing actionable insights for a rental
business.
Data Analyst - Bionic Owls C-Corps
Mar 2022- Aug 2023
Overview: A reputable Gaming & Finance (Gamefi) company Specializing in developing digital collectibles and
blockchain games.
• Grew retention rate by 23% using Python for statistical analysis of growth experiment results and churn
analysis to better understand the Community member’s behavior and improve retention.
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Implemented data-driven strategies that drove sales of blockchain digital collectibles (NFT), and
community growth to 50,000 active members across all platforms within the first 9 months, thereby
positioning the company as a frontier within the Gamefi ecosystem.
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Created dashboards for cross-functional teams to showcase KPIs achievements and report performance
against the roadmap.
GIS Data Analyst- National Space Research and Development Agency
Aug 2018- Dec 2022
Overview: Organization responsible for the application of space science and technology for sustainable socioeconomic development.
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Conducted comprehensive exploratory and image analysis of satellite imagery, employing advanced data
analysis techniques that provided critical data for government decision-making processes.
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Extracted and analyzed big data geospatial information datasets, enabling data-driven decisions and
solutions for complex environmental challenges.
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Facilitated knowledge transfer sessions by conducting monthly tutorials to educate stakeholders on spacebased techniques and technology advancements.
Achievements & Projects
Predictive Model:
• Piloted and developed a proof of concept for predicting the risk of tenants falling into arrears.
Customer Analytics Projects:
• Developed a Customer Churn Predictive Model using Python and SQL, providing insights for targeted
retention strategies.
• Optimized Customer Segmentation for personalized experiences, enhancing overall customer satisfaction
and loyalty.
Customer Satisfaction Modeling Project:
• Created a Predictive Model to assess customer satisfaction levels by estimating review ratings and
providing actionable insights for service improvement.
Data Management and Analysis Projects:
• Investigated and queried a DVD Rental Database, with PostgreSQL and MySQL to extract valuable
insights and optimize the business data management processes.
• Designed a comprehensive Library Database with SQL.
