NICHOLAS KINARA ONKOBA

Conducted exploratory data analysis on diverse datasets to uncover patterns, trends, and anomalies.

Utilized statistical techniques to derive actionable insights for business improvement

Implemented data cleaning processes to ensure the integrity and accuracy of datasets.

Collaborated with teams to address missing data, outliers, and inconsistencies

Generated regular reports and visualizations using tools such as Excel, Tableau, and Power BI.

Presented findings to stakeholders in a clear and accessible manner, facilitating data-driven decision-making

Utilized SQL to query and extract data from relational databases.


Applied supervised and unsupervised machine learning algorithms to analyze and extract insights from diverse datasets.

Developed predictive models and predicting user behavior using Python, scikit-learn, and TensorFlow.

Conducted comprehensive data cleaning and preprocessing, handling missing values and outliers to ensure high-quality data for analysis.

Created visually compelling dashboards and reports using tools like Matplotlib and Seaborn to communicate findings to non-technical stakeholders.

Presented key insights to the leadership team, facilitating data-driven decision-making.

Utilized SQL to query and manipulate data stored in relational databases, ensuring efficient data retrieval for analysis.