COVID-19 Data Analysis Project
Summary
Comprehensive analysis of real-world COVID-19 datasets to uncover trends and patterns, utilizing Python libraries for data cleaning, exploratory analysis, and visualization.
Aspiring Data Scientist with a strong foundation in Python, SQL, statistical analysis, and data visualization, eager to leverage analytical acumen to drive data-driven insights. Proven ability to clean, analyze, and visualize complex datasets using tools like pandas, NumPy, Power BI, and Tableau, demonstrated through impactful real-world projects. Combines technical proficiency with 2 years of experience in financial operations, developing acute numerical accuracy, problem-solving, and meticulous attention to detail crucial for data integrity and high-quality analysis.
Cashier Accountant
Lagos, Lagos, Nigeria
→
Summary
Managed daily cash transactions and financial records, ensuring accuracy and accountability while processing customer payments and resolving inquiries.
Highlights
Managed an average of 100+ daily cash transactions, consistently maintaining accurate financial records and balancing daily cash flow reports.
Processed all customer payments efficiently, reducing transaction errors by 15% through meticulous record-keeping and reconciliation.
Assisted 50+ customers daily with account and payment-related inquiries, enhancing customer satisfaction through clear communication and problem resolution.
Maintained 100% accuracy and accountability in all financial operations over a 2-year period, safeguarding company assets and ensuring compliance.
Senior Secondary School Certificate (SSCE)
General Studies
Issued By
Microsoft & LinkedIn
Issued By
Microsoft & LinkedIn
Issued By
Microsoft & LinkedIn
Python, SQL.
pandas, NumPy, Matplotlib, Plotly, Power BI, Tableau, Data Cleaning, Exploratory Data Analysis (EDA), Statistical Analysis, Probability & Correlation, Data Visualization.
Jupyter Notebook, Microsoft Excel, scikit-learn.
Machine Learning Fundamentals, Generative AI, Predictive Analytics.
Cybersecurity Fundamentals.
Summary
Comprehensive analysis of real-world COVID-19 datasets to uncover trends and patterns, utilizing Python libraries for data cleaning, exploratory analysis, and visualization.
Summary
Designed and developed dynamic, interactive dashboards and visual reports to transform raw CSV data into actionable business intelligence.
Summary
Analyzed sales datasets to uncover revenue trends and customer behavior patterns, supporting strategic business decision-making.
Summary
Explored student performance datasets to identify factors influencing academic results and generate actionable insights for educational improvement.
Summary
Developed foundational machine learning models using Python and scikit-learn to solve classification and regression problems.