Daniel Kuria

Led multiple end-to-end data projects involving advanced Exploratory Data Analysis (EDA), data cleaning, feature engineering, and predictive modeling using Python, SQL, and machine learning libraries.

Built financial analytics dashboards and models, including credit risk scoring, DTI analysis, time-series forecasting, income segmentation, and customer behavior insights.

Developed backend systems and REST APIs using Django, integrating database models and secure workflows for data-driven applications.

Designed optimized SQL queries, relational database schemas, and ETL processes using MySQL and MySQL Workbench.

Created high-quality visualizations and reports to communicate insights clearly to stakeholders.

Implemented machine learning algorithms (Regression, Classification, Clustering) and evaluated models using best-practice metrics.

Collaborated with clients and teams to convert business problems into structured analytical and software solutions.

Wrote reusable, well-documented code in Python, Java, and C++, applying OOP and clean architecture principles.

Used Git & GitHub for version control, project collaboration, and production-ready code management.