Strategic and results-driven Business Development Analyst with proven expertise in leveraging data-driven insights to identify market opportunities and optimize revenue streams. Proficient in financial modeling, demand forecasting, and competitive analysis using Excel, SQL, Python, and Power BI. Successfully contributed to a 45% improvement in cargo tonnage across monitored airline routes by supporting cargo operations analysis and identifying growth opportunities.
Cargo Data Analyst Internship
Lagos, Lagos, Nigeria
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Summary
Led data analysis and visualization initiatives for cargo operations, identifying high-performing routes and optimizing cargo planning.
Highlights
Analyzed airline cargo handling data with precision to identify high-performing routes, airlines, and peak operational days, optimizing cargo planning strategies.
Developed interactive performance dashboards using Microsoft Power BI, tracking key cargo metrics such as total tonnage, airline share, and flight frequency.
Conducted comprehensive Year-on-Year (YoY) and month-to-month cargo performance analysis, highlighting operational changes that contributed to an estimated 40-45% increase in handled cargo tonnage across key routes.
Implemented trend analysis and KPI monitoring systems, enabling management to quickly identify growth opportunities and performance gaps.
Created clear visual reports and storytelling dashboards, supporting data-driven decision-making within complex cargo operations.
Excel Analyst Tutor
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Summary
Provided comprehensive data analysis training and mentorship to students, enhancing their understanding and application of analytical tools.
Highlights
Taught students how to effectively utilize various data analysis tools including Excel, Power BI, and SQL, enhancing their practical application skills.
Delivered engaging online lectures and practical demonstrations, effectively conveying complex data concepts to improve student comprehension and application.
Designed and implemented core data engineering ETL (Extraction, Transformation, and Loading) techniques using PostgreSQL, MySQL, and Python, ensuring efficient data processing and integration.
Provided advanced data analysis training covering data cleaning, financial modeling, database design, querying, and data visualization using MS Excel, Python, PostgreSQL, and MySQL.
Maintained clear and concise documentation of training materials and resources, facilitating easy access and understanding for students and fellow tutors.
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BSc.
Economics
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High School Diploma
Senior Secondary Certificate Examination
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Certificate
Primary Education
MS Excel, Power BI, SQL, Python, Visual Studio Code, ETL Process, Data Storytelling, Data Cleaning, Interactive Dashboards, Market Research, Competitive Benchmarking, Route Performance Analysis, Pandas, Numpy, Matplotlib.
Financial Modelling, Revenue Forecasting, Demand Forecasting, Pricing, Tariff Modelling, KPI Tracking, Strategic Initiatives, Regulatory Compliance, Capital Expenditures, Business Intelligence.
Core Python, VBA, Visual Basics, Data Structures, OOP, PostgreSQL, MySQL.
Hardware Installation, Software Installation, Computer Systems Setup, Data Validation, Chart Creation, Pivot Tables.
Summary
Advanced Python analysis of time-series stock data to estimate covariance matrix, correlation matrix, Value at Risk, Return on Investment (ROI), Option Pricing and Portfolio variance for major U.S stock portfolios.