Predicting Atmospheric Emissions Using Machine Learning Models, University of Liverpool, 08/2024 - 10/2024, Predicted NOx and PM2.5 emissions using Random Forest and XGBoost based on the 2019 LAEI dataset. Cleaned and engineered features, reducing dimensionality with PCA for optimal model performance. Achieved high prediction accuracy, evaluated using MSE and R-squared metrics. Leveraged geospatial analysis to map pollution sources across London boroughs., Python, Scikit-learn, XGBoost, Pandas, Matplotlib, Jupyter Notebook, Geopandas, PyCharm ETL Pipeline for Real-Time Data Processing, University of Liverpool, 10/2023 - 12/2023, Designed and developed an ETL pipeline for real-time processing of sensor data from a manufacturing environment, utilizing Apache Kafka for data streaming and Apache Spark for real-time analytics. Ensured data quality by integrating validation checks and error-handling mechanisms, improving data reliability and processing efficiency., Python, Apache Kafka, Apache Spark, SQL College Database System Design, University of Liverpool, 05/2024 - 06/2024, Designed and implemented a comprehensive college database system using MySQL, optimized for performance and data retrieval. Integrated complex SQL queries with Python for advanced analytics on student performance and resource management., MySQL, SQL, Python, Jupyter Notebook Client/Server Network Software Development, University of Liverpool, 01/2024 - 03/2024, Developed a secure client/server network system in Python, focusing on encrypted communication and efficient data transfer across nodes. Implemented testing protocols to ensure data integrity and system reliability., Python, GitHub, SQL, Jupyter Notebook