SQL (SQL Server, MySQL, PostgreSQL)

Python (Pandas, NumPy, SciPy, MatPlotLib)

Tableau

Excel (XLOOKUP and lookup functions, Conditional Formatting, Pivot Tables)

Power BI

R (R Studio)

Google Workspace (Sheets, Docs, Drive, Calendar)

Proficient with various management and record-keeping software

MATLAB

Meticulous attention to detail, time management, workflow management, task prioritization

Excellent communication, customer service, teamwork, and a proactive attitude

Fluent English (native language)

Italian (A2/B1)

Collected and analyzed real-time sports data with precision using specialized data collection software.

Ensured data accuracy and timeliness for live reporting and analytics teams.

Collaborated with cross-functional teams to support product innovation and data integrity.

Analyzed and processed statistical data using Excel and SPSS, contributing to national reports.

Supported the evaluation of Nigeria’s Sustainable Development Goals (SDGs) through data-driven insights.

Assisted in data cleaning, validation, and report automation, improving efficiency in data workflows.

Collaborated within an Agile-inspired environment, participating in iterative data review sessions and adapting quickly to changing analytical requirements.

Conduct market research and generate insights by evaluating platform and user data for accuracy and trends.

Perform crypto market analytics and insights research for the Bear & Bull Index for Cryptocurrencies, a project backed by Neroitech Inventions.

Authored and edited over 500 articles, demonstrating strong attention to detail and commitment to accuracy.

Conducted rigorous fact-checking and data verification to ensure 100% credibility of published content.

Managed and organized large volumes of information, improving content accessibility and searchability for users.

Provided technical support to clients, troubleshooting and resolving software and platform issues.

Developed and maintained a knowledge base of FAQs and troubleshooting guides, reducing support workload and improving user self-service.

Utilized SQL for the data cleaning, transformation and querying to structure raw dataset

Perform customer segmentation using a rule-based approach on Python (Pandas) to analyze customer data, identifying key segments using RFM analysis, churn analysis, KPI tracking and behavior patterns

Created an interactive Power BI dashboard to visualize segment profiles, including demographics and satisfaction metrics

Conducted a comprehensive analysis of major tech stock indices (AAPL, AMZN, GOOGL, META, MSFT, NVDA, TSLA) to assess market performance, growth, and risk

Leveraged Python (yfinance, Pandas, Matplotlib) to acquire, process, and analyze financial time series data, calculating metrics including daily/annual returns and volatility

Developed visualizations with Tableau to effectively communicate key market trends, growth patterns, and relative risk levels across the selected tech indices

Utilized SQL for data cleaning, transformation, and querying to preprocess and structure raw movie data.

Conducted exploratory data analysis to uncover trends, patterns, and key insights within the dataset.

Analyzed global life expectancy data for 2007, focusing on regions, using socio-economic and health indicators.

Cleaned and standardized raw data in Microsoft Excel to enhance accuracy and reliability for analysis.

Explored correlations between life expectancy and factors such as GDP, schooling, and mortality rate.

Created an interactive dashboard to highlight regional disparities and trends using Microsoft Excel.

Developed a MATLAB function, fun, that computes the averages of consecutive entries in a given vector.

Measured the performance of the function by analyzing execution time, memory usage, and number of iterations.

Visualized input-output relationships using subplots and graphs to demonstrate the function’s behavior.

Conducted the project on randomly generated datasets to ensure general applicability and efficiency.

Utilized Python to implement the Direct Simulation Monte Carlo (DSMC) method for solving Kac’s equation.

Simulated and validated analytical solutions in scenarios where closed-form solutions were available.

Applied the DSMC approach to explore analytically intractable cases, uncovering complex behaviors through simulation.

Made use of Python libraries such as NumPy and Matplotlib for efficient computation and visualization of results.

Enhanced classroom engagement through interactive lectures, hands-on activities, and group projects.

Evaluated student performance using assessments aligned with course objectives.

Assisted in coordinating extracurricular activities such as tutoring programs, further enriching the educational experience for students.

Taught Mathematics and Further Mathematics to senior secondary school students.

Evaluated student performance using assessments aligned with subject objectives.