Data Scientist Resume
Plainview New, YorK
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)
WORK EXPERIENCE:
Data Scientist
Confidential, Plainview, 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 the Sklearn API utilizing R and Python.
Adjunct Instructor
Confidential, New York
Responsibilities:
- Taught courses Developmental Algebra Lab and Algebra 1 Lab; lectures, examinations and mentoring.
Mathematics Instructor
Confidential, Syosset, New York
Responsibilities:
- Created lesson plans and instructed students of all ages ranging from elementary through high school.
Instructor
Confidential, Stony Brook, New York
Responsibilities:
- Taught courses Applied Calculus I, Applied Calculus II, Applied Calculus IV; lectures, examinations and mentoring.
- Statistical analysis (Bayesian techniques) using R for predicting audience score of movies.
- Analysis of the Sberbank Russian Housing Market aggregating the training dataset supplied by kaggle.com to develop new features to increase the predictive powers of the analytical models utilizing RandomizedLasso, RandomForest, ExtraTrees, Gradient Boosting, LassoLars and ElasticNet.