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.