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Consultant Data Scientist Resume

New York, NY


  • An experienced researcher/data scientist, proficient in statistical analysis, mathematical modeling, and machine learning. Experienced in working with big data, generating and testing data - driven hypotheses, and developing innovative approaches for data analysis.


Statistical and scientific programming: R, Matlab, Mathematica

Modeling and data analysis: statistical analysis, machine learning, regression analysis, data mining, data modeling, differential equations, image processing

Programming: Perl, Python, C++, C#

Database: SQL, MS Access


Consultant Data Scientist

Confidential, New York, NY


  • Bayesian statistics in computational drug discovery

Postdoctoral Fellow/Graduate Research Assistant

Confidential, Bronx, NY


  • Reconstructed 3D images of blood vessels in bone marrow from 2D cross-sections
  • Discovered heterogeneous cellular origin of leukemia B-cells via Naive Bayes classifier
  • Developed a model of somatic hypermutation of Ig sequences of leukemia B-cells for prediction of antibody selection
  • Discovered novel interactions between sets of genetic markers in centenarian population via logistic regression
  • Developed a novel statistical approach for Genome-Wide Association Studies analysis
  • Created a model of T-cell development and differentiation via differential equations
  • Build a computer predicted structure of Confidential protein

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