Personal Statement
I specialize in biomedical and healthcare data analysis, leveraging Python, SQL, and machine learning to extract insights from complex datasets. My expertise includes data cleaning, exploratory analysis, predictive modeling, and visualization. I've worked on projects predicting patient outcomes, healthcare costs, and clinical trends. Passionate about transforming raw data into actionable insights to drive informed decision-making.
Programming Languages
C/C++,
Python (Sci-Py packages), R, MATLAB, VBA,
Vim and Git-BASH, SLURM, SQL
Computational Methods
Ordinary & Partial Differential Equations (ODE & PDE), Spatial Stochastic Analysis (SSA),
Parallel CPU Computing, and
Object-Oriented Programing.
Statistical Methods
Local & Global Sensitivity Analysis,
Dimensional Reduction & Classification (Principal Component Analysis), and
Linear & Multivariate Regression
Software & Additional Applications
ASPEN,
Image J,
Copasi, COMSOL, Systems Biology Markup Language (SMBL), Smoldyn, Rule-Based Modeling (BioNetGen),
Cytoscape, and
Blender
Computer Science
Computational Modeling of Systems Biology,
Numerical Methods,
Statistical Methods and Applications in Big Data, and
Parallel Processing
Mathematics
Applications of Linear Algebra
Biology/Chemistry
Fluid Dynamics,
Thermodynamics,
Computing for Life Sciences, and
Biomechanics
Chemical Engineering (BSE)
University of Michigan
Biophysics MinorBiomedical Engineering (MSE)
Purdue University
Quantitative Systems Biology