Confident Student passionate about learning new skills. Ambitious and driven individual ready and willing to work hard and learn from professionals.
(1) Heart attack prediction based on medical features and clinical data
-Using Data analysis techniques, and python libraries, I created a model that can predict how likely a patient may get a heart attack based on multiple features. I was responsible for cleaning the data, writing the code, and establishing the model.
(2) Potential anti-inflammatory and anti-oxidant properties of Parkinsonia Aculeata
-The testing is currently in the preliminary stages, with data collection and analysis ongoing. Findings from this research could contribute to the novel of phytochemical-based therapies and nutraceutical.
(3) Bacterial conversion of bio-wastes into bio-fuel
-Conducted a research about a potential usage of a genetically modified bacteria that can convert carbon dioxide captured from atmosphere and urea extracted from urine into bio-fuel.
ICAN scientific competition, Gold medal on (Bacterial conversion of Carbon dioxide & urine into liquid fuel)