Kyria Myleena Tobing

Detail-oriented Chemistry with Computing undergraduate with strong experience in data analysis, validation, and structured problem-solving. Proficient in Python, SQL, MATLAB, and Excel, with hands-on experience analysing scientific and environmental datasets, building models, and ensuring data accuracy through careful investigation and quality checks. Comfortable working independently, following clear guidelines, and using digital tools to support reliable, user-facing data systems.

Epidemic Simulation Project (Python & NumPy)

• Built a computational model to simulate the spread of an epidemic using NumPy
• Generated and analysed time-series data to study infection intervals and system behaviour
• Visualised distributions and trends using Matplotlib
• Ensured numerical accuracy and reproducibility through structured code

Air Quality Monitoring: Nitrogen Dioxide (NO₂) in Bristol

• Collected environmental data using passive diffusion tubes
• Processed raw measurements using Excel to generate calibration curves
• Applied temperature correction and propagated uncertainty analysis
• Investigated data limitations and accuracy issues at low signal levels
• Interpreted results against regulatory air-quality thresholds

Mathematical Modelling in Chemistry (Graph Theory IA)

• Analysed chemical structure data using degree-based and distance-based indices
• Used Excel to perform regression analysis and assess correlation strength
• Compared multiple models to identify best predictors of physical properties
• Applied logical, structured approaches to data interpretation

Experimental Kinetics & Rate Analysis of Luminol Oxidation and Decarbonisation of Soft Drinks

• Designed experiments producing time-dependent datasets
• Calculated reaction rates and instantaneous rates from experimental data
• Applied curve fitting and regression techniques
• Managed large datasets with careful attention to consistency and accuracy