Focused Research Assistant currently pursuing degree in Biomedical Data Science and Informatics. Have a good mix of knowledge and expertise in medical science as well as computational domain. Well-versed creating efficient systems to organize and manage experimental data. Skilled in data analysis and machine learning engaged in health research.
Worked on a project that specifically involved data analysis and data visualization skillset and was required to perform the below fundamental activities:
Worked under the supervision of Dr. Adetola Louis-Jacques in the Mothers of Very Low Birth Weight Infants: Chronic stress, modification of DNA methylation and the gut microbiome 3 years (± 6 months) Postpartum project performing the following responsibilities:
Python
undefinedTitle: Comparing supervised algorithms' performances for fraud detection on imbalanced data.
Description: Often in the real world, we come across a problem of facing datasets which have class labels that are not balanced but actually highly skewed. If we take a real world scenario of predicting fraudulent activity or an onset of a disease then mostly the class labels will be skewed with negative class being much much more than positive class. In this project, the aim was to try several techniques to build very accurate predictive models and compare their performance using runtime and different evaluation metrics when the data is highly imbalanced, just like several real world scenarios, to primarily forecast financial fraud cases.
Title: Implementation and comparison of regression models from scratch.
Description: To predict the women's Olympic 100-meter race record time for this winter Olympic (2022). Three different regression model (linear, quadratic and cubic) were implemented from scratch to see which model was better at prediction.
Title: Implementation of Logistic Regression and Support Vector Machine Algorithms to predict whether capacitors from a fabrication plant pass quality control based on two different tests.
Description: ML models were implemented from scratch. Model performances were evaluated via several evaluation metrics like accuracy, precision, recall and F1.
General Chemistry Tutor
University Of South Florida, Tampa, FL
Math Tutor
Corozal Junior College, Corozal, Belize
Dutra, S. V. O., Kumar, K. , & Clochesy, J. M. (2022). Instruction strategies for drug calculation skills: a systematic review of the literature. Nurse Education Today, 105299.
Biomedical Responsible Conduct Research- CITI Training