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I specialize in biochemical engineering, 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.
C/C++,
Python (Sci-Py packages), R, MATLAB, VBA,
Vim and Git-BASH, SLURM, SQL
Ordinary & Partial Differential Equations (ODE & PDE), Spatial Stochastic Analysis (SSA),
Multiphysics Simulation.
Local & Global Sensitivity Analysis,
Dimensional Reduction & Classification (Principal Component Analysis), and
Linear & Multivariate Regression
ASPEN,
Copasi | COMSOL
Cytoscape | Blender | ImageJ
Material & Energy Balances | Mass & Heat Transfer
Thermodynamics | Fluid Mechanics
Reaction Engineering Design | Material Science | Process Control
Process Simulation & Design | Separation Processes
Biomechanics, Systems Biology,
Numerical Methods, Linear Algebra
Statistical Method, Mathematical Modeling
Calculus I-IV | Physics | Physical/Organic Chemistry
University of Michigan
Biophysics MinorPurdue University
Quantitative Systems Biology