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Data Scientist Resume

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New, YorK

TECHNICAL SKILLS

Programming Languages/Skills: C, C++, R (Bayesian statistics, machine learning, statistical inferences, linear and non - linear regression models on data sets; packages include dplyr, ggplot2, stringr, Boruta, missForest, mice), Python (Numpy, Scipy, Matplotlib, Pandas, Sklearn, Keras and Tensorflow), SQL, MySQL, MATLAB, LaTeX, MS Office - Excel (pivot tables, macros, automation), Word and PowerPoint (presentation of research/results), Google Cloud Platform (Data Engineering), Machine Learning (Udacity)

PROFESSIONAL EXPERIENCE

Data Scientist

Confidential, New York

Responsibilities:

  • Data mining, creating useful features for statistical analysis, construction of cross-validation models creating meaningful predictions on testing data sets, creation of classes for outlier filtration and ranking system similar to teh Sklearn API utilizing R and Python.
  • Taught courses Developmental Algebra Lab and Algebra 1 Lab; lectures, examinations and mentoring.
  • Created lesson plans and instructed students of all ages ranging from elementary through high school.

Instructor

Confidential

Responsibilities:

  • Statistical analysis (Bayesian techniques) using R for predicting audience score of movies.
  • Analysis of teh Sberbank Russian Housing Market aggregating teh training dataset supplied by kaggle.com to develop new features to increase teh predictive powers of teh analytical models utilizing RandomizedLasso, RandomForest, ExtraTrees, Gradient Boosting, LassoLars and ElasticNet.

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