Research Associate Resume
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Evanston, IL
SUMMARY
- me is a Data scientist with a PhD degree in Chemical Engineering and academic research exp erience in modeling.
- Through post - processing research data, me developed my enthusiasm for data science while learning Python on my own.
- me delivered results and justified conclusions through careful acquisition and interpretation of teh data.
- me is a detailed oriented person who pays attention to teh characteristics of teh data to gain insight. In past projects, me collaborated with interdisciplinary teams with great interpersonal skills.
- me is eager to apply research skills, logical thinking, and modeling experience to solve complex predictive problems in data science.
TECHNICAL SKILLS
- Machine Learning Python
- (Sklearn, Pandas) Jupyter Notebooks SQL C/C++
- Git
- Matlab/Octave
- Gnuplot
- Linux
- Spark/Hadoop
- Django
- Minitab
PROFESSIONAL EXPERIENCE
Research Associate
Confidential, Evanston, IL
Responsibilities:
- Successfully captured product distribution for alkylation reactions on solid acid catalysts through microkinetic modeling and solving a system of ordinary differential equations.
- Improved efficiency of teh optimization of model parameters by estimating initial values from thermodynamic properties of reactive species.
- Debugged and improved in-house C/C++ code to reduce teh computation time by 30%.
- Developed Python code to process simulated data to facilitate visualization and optimization.
Postdoctoral Research Associate
Confidential, Minneapolis, IL
Responsibilities:
- Established a model to screen cation-exchanged zeolites for potential selective adsorbents for H 2 S from Claus process tail gas with cluster and periodic DFT calculations.
- Identified descriptor for adsorption energies on zeolites to aid teh design for superior adsorbents for H 2 S by performing energy decomposition analysis.
Graduate Research
Confidential, Evanston, IL
Responsibilities:
- Constructed a computationally efficient model to study deNO x reactions over BaNaY zeolites assess using hybrid quantum mechanical/molecular mechanical calculations.
- Determined rate-determining step for teh deNO x reactions in teh gas phase with transition state theory and microkinetic modeling by calculating teh Gibbs free energy surface.
- Administrated and coordinated a 32-node Linux computer cluster for parallel computing.