Completed Master of Science in Data Science at Middlesex University, acquired comprehensive skill set pivotal to both my project and career alignment. Focus of my thesis centered on the examination of the Effects of Meteorological Factors on Air Pollutants, Case Study of Hendon Campus Air Quality, Data Science Approach.
I employed a range of tools, machine learning techniques, Scikit Learn libraries, and proficient Python programming skills. I demonstrated expertise in data cleaning, manipulation, and processing, encompassing the handling of categorical data, feature scaling, establishment of a data transformation pipeline for machine learning algorithms. Correlation data analysis and the comparative assessment of machine learning models—such as Random Forest, Linear Regression, and Decision Trees—were integral components of my methodology.
The culmination of these efforts resulted in the development of a robust machine learning model capable of predicting hourly particulate pollutant (PM2.5) levels, achieving R-Squared value of 0.80 and a Root Mean Squared Error (RMSE) of 5.0. Rigorous correlation and feature importance analyses substantiated the assertion that meteorological factors and weather conditions serve as primary drivers to particulate pollution. Notably, partly cloudy conditions emerged as a significant factor favoring PM2.5 emissions.
Moreover, my skill set extends beyond the aforementioned aspects to encompass proficiency in sentiment analysis, visual analysis, data encoding, TensorFlow, NoSQL and SQL databases (including PyMongo and MongoDB), deep learning, computer vision; developed a model for my image characterization and segmentation. I have also gained expertise in cloud distribution, cybersecurity, and security protocols, in addition to advanced programming skills in Python and R.
These competencies, acquired throughout the course of my academic pursuits, are strategically aimed at leveraging knowledge for the implementation of future endeavors in the realm of Data Science and research. The data utilized for my project was sourced from the Hendon Air Quality project AQmesh for air quality data and Visual Crossing for weather data. The project was accomplished within a period of 3 months that included research topic choosing, proposal writing, data collection and analysis, machine learning project formulation and methodology, report writing, presentation and the final report submission.
2022-2023 Conducted collaborative work within the project " PAPER VOLCANOES LAB: A way to engage early childhood and primary school children on Earth Science" awarded by INGV on 2020 funded by IUGG and supported by IAVCEI within the priority area Geoscience education and outreach in developing countries. Within the project helped to deliver workshop titled " The encounter between Turkana and science knowledge" helping to bridge the geological background to the Turkana cultural knowledge, conducted bibliography research of Turkana geological setting and created a map using ArcGIS software, summarised traditional Turkana stories of mountain of fires, collected geo-tagged data for recent/active volcanic mountains within the Kenyan rift, plotted the data on a created geological units map.
2017 January to June, conducted rigorous borehole geophysical surveys in the 6 Turkana subcounties, facilitating the drilling of 100 boreholes countywide to enhance clean water accessibility for residents. Drafted detailed survey reports, executed field studies, including material sampling and analysis during drilling, achieving an 80% success rate. The 20% of dry wells were predominantly due to drilling equipment limitations in penetrating complex geological formations within certain sub-counties.
Led the drilling team in remote Turkana West areas near the Ugandan border at Tulabalany, Lokangae, and surrounding regions, achieving a 90% success rate.
In June 2022, aided the Director of Water and Mineral Resources in rectifying 180 BOQ documents. Conducted a thorough recalculation and correction of project budgets, producing a detailed movement plan for the county drilling plant within a week. Achieved 100% accuracy in correcting budget figures to align with the county budget. Formulated a robust map plan facilitating the successful drilling of 180 proposed boreholes, enabling the drilling team to achieve an average of 2 boreholes per day. Increased drilling rates by minimizing the distance between borehole sites, thereby optimizing drilling operation time.
In 2021, assigned to the team tasked with verifying and aligning the Proposed Road Map for the Formation of Turkana Urban Water and Sewerage Public Limited Company and the Formation of Turkana Rural Water Services Public Limited Company by the Ministry of Water Services, Environment, and Mineral Resources. Successfully developed a Roadmap within 5 working days, achieving a 100% implementation success rate for our proposed plan