Exploratory Data Analysis
Summary
Conducted exploratory data analysis on a large movie dataset from Kaggle.
Data Engineer
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Highlights
Collaborated with a cross-functional team to develop a performance reporting application that automated daily and monthly balance sheet, income statement, and scorecard calculations for thousands of employees across all bank branches, zones, regions, and nationwide.
Developed and implemented a data-driven email validation tool in collaboration with software developers, resulting in a 90% decrease in bounced customer engagement emails and significantly improving campaign effectiveness.
Built a Customer Master Data Management (CMDM) system, collaborating with cross-functional teams to enhance the Data Quality Index (DQI) of customer records, driving improvements in data accuracy and integrity.
Engineered robust ETL processes using SSIS and Azure Data Factory for seamless data integration from diverse sources, maintaining strict adherence to data governance and privacy standards while promptly resolving pipeline issues.
Designed and managed the data system for STREAK, an Intelligent Relationship Management mobile App built to enhance customer engagement and support the business development team. This all-in-one platform integrated data from multiple sources, allowing users to access real-time customer profiles, interaction history, and actionable insights.
Led knowledge-sharing initiatives and onboarded interns, fostering a culture of continuous learning and growth, and contributed to annual bank-wide data literacy training, empowering teams with critical data insights.
Tech Graduate Trainee
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Highlights
Completed training in financial systems, and database management, gaining foundational knowledge of banking operations and enterprise data practices.
Collaborated on a capstone project to design a new feature for the Royal Kiddies banking product, aimed at enabling parents to view and fund their children's accounts (ages 0–13) directly within the mobile app.
Contributed to product planning, user experience design, and MVP development in a cross-functional team, presenting final output to stakeholders for potential integration.
Data Analyst
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Highlights
Conducted thorough data analysis for clients, effectively communicating findings and recommendations to support strategic decision-making and achieve business objectives.
Leveraged SQL, Power BI, and Excel to clean, process, and analyze complex datasets, ensuring high data accuracy and reliability for client deliverables.
Delivered customized reports and interactive dashboards that translated complex data into clear, actionable insights, enabling clients to make informed business decisions.
Mathematics Teacher (NYSC)
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Highlights
Taught Mathematics to secondary school students during national service, delivering lessons in Algebra, Probability, Geometry, and Statistics, while organizing remedial classes that improved struggling students’ test scores
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Summary
Actively contributed to the tech community by sharing knowledge and mentoring aspiring tech professionals.
Highlights
Spoken at over 50 tech career events, covering a range of technical and career-related topics to foster community growth.
Mentored over 100 data analytics enthusiasts through dedicated group mentorship and community engagement initiatives.
Held monthly twitter space sessions for tech professionals to speak to early career professionals.
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Summary
Volunteered as a student mentor during university, tutoring junior students in Mathematics and core Engineering courses, and organizing peer-led revision sessions to support academic success among classmates.
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B.Eng
Mechatronics Engineering
Grade: First Class
SQL, Python.
Cross-functional Communication, Team Collaboration, Analytical Thinking, Public Speaking, Stakeholder Management.
Azure Data Factory, Azure Synapse, Power BI, GitHub, Visual Studio (SSIS), Microsoft Fabric, SQL Databases.
ETL Processes, Data Modelling, Pipeline Development, Data Governance, Data Quality, Data Analysis, Data Cleaning, Technical Reporting.
Summary
Conducted exploratory data analysis on a large movie dataset from Kaggle.
Summary
Collaborated with a cross-functional team to build a performance reporting application used by thousands of staff across branches, zones, and regional offices. Automated calculations for daily and monthly balance sheets, income statements, and staff performance scorecards, improving operational efficiency and transparency. Played a key role in backend data integration and pipeline optimization using SQL and SSIS.