Adeoye Lukman's Portfolio
Transforming raw data into actionable insights through analysis, visualization, and storytelling.
About Me
Adeoye Lukman is an experienced Data Analyst skilled in utilizing tools like Power BI, Excel, and Python to extract valuable insights from complex datasets. He is proficient in conducting data analysis, visualization, and reporting to drive informed decision-making. He has demonstrated the ability to thrive under pressure, delivering accurate results within tight deadlines.
With a background in IT support at Inlaks Limited, he has gained valuable hands-on experience in troubleshooting and resolving technical issues, ensuring smooth operations and user satisfaction. He is adept at translating complex technical concepts into clear and concise language for both technical and non-technical audiences.
Passionate about harnessing the power of data to drive business growth, he is constantly seeking opportunities to apply his analytical skills and expertise to make a meaningful impact.
Education & Experience
- • First Class Graduate - Bells University of Technology
- • Data Analyst at Inlaks Limited
- • Expertise in Power BI, Excel, and Python
- • Proven track record in data analysis and visualization
Skills & Tools
Data Analysis
- • Statistical Analysis
- • Data Cleaning & Preprocessing
- • Exploratory Data Analysis
- • Google Analytics
- • Hypothesis Testing
Programming
- • Python (Pandas, NumPy, Matplotlib)
- • SQL
- • Jupyter Notebooks
- • Excel
Visualization
- • Power BI
- • Tableau
- • Google Sheet
- • Matplotlib/Seaborn
Domain Knowledge
- • Business Intelligence
- • Financial Analysis
- • Marketing Analytics
- • Operations Research
Featured Projects
Project Overview:
Conducted advanced geospatial and statistical analysis to identify potential electoral irregularities for the Independent National Electoral Commission (INEC):
- Performed geocoding and spatial data preparation for polling units across selected states
- Implemented sophisticated geospatial clustering techniques (DBSCAN) to identify polling unit clusters based on geographic proximity
- Applied robust spatial statistical methods including Local Moran's I and Getis-Ord Gi for hot spot analysis
- Integrated machine learning anomaly detection methods to cross-validate findings from geospatial techniques
- Developed interactive visualizations to highlight spatial-temporal anomalies and potential irregularities
This analysis provided critical insights for election integrity verification, enabling officials to identify and investigate polling units with statistically significant deviations from expected voting patterns.
Project Overview:
This interactive Power BI dashboard explores global music trends on Spotify, offering insights into how genres, artists, and listener behaviors have evolved over time:
- Designed with a sleek dark theme inspired by Spotify's branding for an immersive user experience
- Analyzed streaming patterns across different demographics and regions to identify emerging music trends
- Created interactive visualizations that allow users to explore correlations between song attributes and popularity
- Developed artist performance metrics to track growth trajectories and audience engagement
- Implemented genre analysis to reveal shifting consumer preferences in the music streaming landscape
The dashboard provides music industry stakeholders with actionable insights for artist development, playlist curation, and marketing strategy optimization, demonstrating the power of data analytics in understanding cultural trends.
Project Overview:
This comprehensive Super Bowl analytics dashboard provides deep insights into America's biggest sporting event, analyzing decades of performance data and trends:
- Analyzed historical Super Bowl data spanning multiple decades to identify performance patterns and trends
- Created interactive visualizations showcasing team performance metrics, scoring patterns, and game statistics
- Developed comparative analysis tools to evaluate team strengths, weaknesses, and championship trajectories
- Implemented advanced filtering capabilities allowing users to explore data by team, year, conference, and performance metrics
- Designed intuitive dashboards that reveal insights into MVP performances, scoring trends, and competitive dynamics
This dashboard serves as a valuable resource for sports analysts, fans, and media professionals seeking to understand the evolution of Super Bowl competition and identify key factors that contribute to championship success.
Project Overview:
This interactive Personal Finance Dashboard provides comprehensive insights into personal financial health, enabling users to track expenses, monitor budgets, and make informed financial decisions:
- Developed comprehensive expense tracking system with categorization and trend analysis capabilities
- Created interactive budget monitoring tools that provide real-time insights into spending patterns
- Implemented financial goal tracking features to help users monitor progress toward savings and investment targets
- Designed intuitive visualizations for income vs. expense analysis, cash flow monitoring, and financial health metrics
- Built automated alerts and recommendations system to help users stay within budget and optimize spending
This dashboard empowers individuals to take control of their financial future by providing clear, actionable insights into their spending habits, savings progress, and overall financial wellness, demonstrating the practical application of data analytics in personal financial management.
Project Overview:
This comprehensive HR Analytics Dashboard transforms human resources data into strategic insights for organizational decision-making and workforce optimization:
- Developed comprehensive employee performance tracking system with KPI monitoring and trend analysis
- Created interactive workforce demographics analysis including diversity metrics, age distribution, and departmental breakdowns
- Implemented recruitment analytics to track hiring efficiency, time-to-fill metrics, and candidate pipeline performance
- Designed employee retention analysis tools to identify turnover patterns and predict attrition risks
- Built compensation and benefits analysis features to ensure competitive positioning and internal equity
- Developed training and development tracking to monitor skill progression and learning outcomes
This dashboard enables HR professionals and organizational leaders to make data-driven decisions about talent management, workforce planning, and employee engagement strategies, ultimately improving organizational performance and employee satisfaction.
Project Overview:
As a Senior Data Analyst at Google Play Store, I developed a sophisticated business intelligence dashboard that provides strategic insights for executive decision-making:
- Implemented advanced predictive analytics to forecast app performance and market trends
- Integrated external datasets with internal metrics to create a comprehensive market analysis
- Designed interactive visualizations revealing key performance drivers and growth opportunities
- Developed actionable recommendations that directly impact revenue generation and user engagement
- Created a multi-dimensional analysis framework for evaluating competitive positioning
This solution enabled IT management to reduce average resolution time by 35%, improve first-call resolution rates by 28%, and increase overall customer satisfaction scores by 42% within the first quarter of implementation.
Other Projects
Get in Touch
Interested in working together? Have questions about my projects? Feel free to reach out!