Kaung Kyaw

Recent graduate with MSci degree in Physics. Well-versed in mathematics, data and statistical analysis. Ready to launch career in the field of Data Science.

Simulating the Universe using Diffusion Models (Master's Project - 68%)

• Python project using Tensorflow.
• Cleaned pre-processed data from CAMELs multi field dataset to stretch pixel values.
• Built CNNs to confirm parameter inference model of past papers and improved percentage difference.
• Concluded by building novel conditional Denoising Diffusion Implicit models which predicts hydrodynamical maps for given corresponding n-body maps.

 fMRI Brain Scan Correlation with Post-Stimulus Hemodynamic Response Function (3rd Year Project - 71%)

• Python project to correlate brain activity with hypothetical Hemodynamic Response Function.
• Modules include Matplotlib, SCiPy, Numpy and more, Applied mathematical foundations such as boxcar functions.
• Fourier methods, linear relationships, and correlation colour maps, Handled big data with more than 44 million data points as it was voxels evolving with time.

Air Quality Analysis as a Consequence of Congestion Charge Zone (2nd Year Project - 65%)

• Researched background information on the science of NO2 formation and its impact on health.
• Utilised Python including Pandas on Air Quality data available on AQ England.
• Analysed and compared NO2 levels of Congestion Charge Zone areas and non-Congestion Charge Zone areas using summary statistics, descriptive analysis, and exploratory analysis.
• Explored R^2, ACF, and data visualisation to answer if congestion charge zone impacted NO2 time series

BJJ, Boxing, Table Tennis, Swimming, English (native), Burmese (native), French (Intermediate), Hebrew (Beginner), Greek (Beginner), Python (Advanced), SQL (Intermediate), Overleaf (Intermediate), R (Beginner), cftool (Beginner), MS Excel (Intermediate), MS PowerPoint (Advanced), Chess, ADCC, Reading, Gaming, Gym, Driving, Coding