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Data Scientist Resume

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SUMMARY

  • Mathematician with 20+ years of diverse experience Problem solver with rigorous perspective; thoughtful, with attention to detail Friendly team player ready for progressive IT industry Lifetime learner; excited to develop new skills Resourceful and motivated Linux enthusiast
  • Completed Coursera Data Science Specialization Track (Confidential ) courses with distinction: Basic Data Mining, R Programming, Exploratory Data Analysis, Statistical Inference, Regression Models, Data Visualization, (in particular, ggplot2), Machine Learning.
  • Took a course on Hadoop at Confidential .
  • Skilled computational math researcher, with broad knowledge of mathematical techniques and software, including Mathematica, Magma, Pari and statistical methods
  • Programmed in a number of computer languages: R, Python, SQL, C, FORTRAN, Basic and others
  • Presentation skills honed through teaching to diverse audience
  • Understanding a revision control system such as GitHub
  • Technical communication of scientific results via literate programming (LaTeX, R Markdown)
  • Machine Learning algorithms: clustering, k - NN, regressions, PCA, naive Bayes, random forests, neural networks with H2O and keras, extreme gradient boosting, convolutional neural networks with Tensorflow and keras

PROFESSIONAL EXPERIENCE

Confidential

Data Scientist

Responsibilities:
  • Instructor for online courses: “Machine Learning with R and Python”, “R programming”, “Advanced R”
  • R tutorial

Confidential

Data Science Specialization

Responsibilities:

  • Invited by teaching staff for exceptional performance
  • Answered student questions on discussion board and helped students with on-line course interface “swirl” for coding practice
  • Published explanations of common student errors, such as one- versus two-tailed hypothesis tests.
  • Reported students' technical issues to systems administrators.

Math Instructor

Confidential

Responsibilities:

  • Presented and explained mathematical concepts to diverse audience; solicited feedback to improve presentation skills.
  • Managed heavy workload of classes (for a full position plus overload), including calculus and college math.
  • Maintained daily contact with students during office hours and by e-mail.

Research Associate

Confidential

Responsibilities:
  • Taught calculus, used on-line homework systems and grading interfaces
  • Researched modular functions using computational math with Magma (a C-based language for working with math structures)

Graduate Teaching Assistant

Confidential

Responsibilities:
  • Taught and tutored various undergraduate math courses, in particular Introduction to Statistical Concepts and Financial Math, linear algebra, differential equations.
  • Wrote syllabus, tests, quizzes and handout notes
  • Researched connections of modular functions with differential equations in computational mathematics using C, Magma, Python.

Math Tutor

Confidential

Responsibilities:
  • Tutored various math courses, including analysis and statistics.

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