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Senior Associate/machine Learning Engineer Resume

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Chantilly, VirginiA

TECHNICAL SKILLS

Programming: C++, Python, Java

Database: MySQL, Hadoop/MapReduce, MongoDB

Analysis Software: ROOT, Mathematica, R, SAS, SciPy/NumPy/Scikit - learn/Pandas, Weka

Text Software: Lucene, NLTK, gensim

Data Analysis: Boosting, Support Vector Machines, Random Forests, Regression, ClusteringLDA

Graphical Modeling: Solidworks

Operating Systems: Linux, Windows

PROFESSIONAL EXPERIENCE

Confidential, Chantilly, Virginia

Senior Associate/Machine Learning Engineer

Responsibilities:

  • Wrote an entity resolution algorithm in java for use on large databases and optimized for speed.
  • Productionized several random forest classification models to flag suspicious behavior.
  • Wrote a Change Point Model in python to detect shifts in shipment behavior.
  • Wrote algorithms in python which implemented NLTK to automate the formatting, mining and XML mark - up of the entire SEC 10-K and APPS corpi.
  • Contributed to the writing of technical plans for successful contract bids.

Confidential, Landover, Maryland

Data Analysis/Predictive Modeling

Responsibilities:

  • Cleaning large, messy data sets for use in predictive modeling and scoring models.
  • Building accurate lead to conversion models by training machine learning algorithms on large data sets with minimal historic conversions.
  • Leading technology development within the analytics group.
  • Capably communicating modeling techniques and results to management.

Confidential

Graduate Research Assistant

Responsibilities:

  • Developed new pattern recognition algorithms and software to reconstruct highmomentum particles and also new particle identification algorithms for use by the entire CMS experiment.
  • Developed a boosted decision tree based analysis to be used in the search for new, undiscovered particles.
  • Gained experience working with a number of different collaborations of various sizes to accomplish common goals.

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