Christian Ukoh
Portfolio

This data analysis project uses Power BI to provide insightful dashboard and report into the factors causing increasing suicides rate, enabling strategic outline on prevention and reduction of suicide rates.

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This machine learning project uses python to develop a Customer Churn prediction model to aid a service provider company to determine most significant factors influencing customer retention to optimize better sustaining strategies.

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This data analysis project involves accessing, writing and querying the Medicare Inpatient Charges Dataset in Google BigQuery public, using SQL to analyze the inpatient data from 2011 to 2014. The goal is to gain more insights into the dataset through the years.

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This Data Analysis project utilizes Microsoft Excel for extensive data cleaning and Power BI for data visualization to gain valuable insight into import items by Nigeria Customs based on tariffs, taxes, and import/export regultions from 2021-2023, also relationship between variables for strategic decision making.

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This data science Project uses IBM SPSS in forecasting employee attrition based on key independent predictors. The model achieved an accuracy of 77.1%, indicating a strong predictive performance.

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This data analysis project analyzes marketing ad campaigns for Fresh Cart, an online grocery store to optimize ad spending in enhancing business outcomes through an in-depth exploration of the dataset. Patterns and insights were uncovered to assess the effectiveness of various advertising strategies to procure tactics that works best.

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