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About Candidate
Data Analyst with a First Class in Mathematics & Statistics and 3+ years’ experience. Skilled in SQL, Python, Excel, and Power BI. Proven track record in market research, business strategy, and energy analytics for clients like Shell Nigeria Gas. Adept at transforming raw data into clear business insights, supporting profitability and growth through actionable strategies and data storytelling.
Location
Education
Got a 1st Class Modules taken include: • Multivariate Data Analysis (70%) – Learned about various analysis techniques and different scenarios they would be required in, how they are used effectively in separating clusters, variables and classifying individual observations into the right groups. Successfully completed assignments using principal component analysis as well as canonical variate and discriminant analysis. • Statistical Data Science and Machine Learning (70%) – Learnt machine learning techniques such as neural networks, tree-based methods and regression and how to apply these in R programming. • Final Year Dissertation (76%) - Titled ‘Time Series Analysis on European Wind Speeds’. Time Series methods such Autoregressive Integrated Moving Average (ARIMA) and exponential smoothing were used to create models in order to forecast wind speeds in European sites over time.
Work & Experience
-Led data validation and analytics for Shell Nigeria Gas market survey across multiple states, producing insight reports that led to state-level agreements and business deals. - Delivered cost-saving analysis for survey operations, helping a client choose an in-house app over costly subscriptions. - Conducted feasibility studies and financial modelling for businesses in hospitality, education, and agriculture. - Guided energy clients in strategic entry into the CNG and LNG sectors using data-driven planning.
Analyzed social media content to identify and report misinformation patterns.
