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Quantitative Analytics, Sr. Resume

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Mclean, VA

SUMMARY

  • Data scientist with extensive experience in application of statistical and machine learning methods to data analysis, predictive modeling, and natural language processing

TECHNICAL SKILLS

Statistical languages: R/S - PLUS, Matlab/Octave, SAS, SPSS Clementine/Text Miner

Programming languages/tools: Perl, Python, C/C++, Hadoop, Spark, Pig, bash/ksh

Operating systems: Ubuntu/Linux, FreeBSD, Solaris, Windows 9/10

Database systems: MySQL, Microsoft SQL Server, Oracle PL/SQL

Mathematical/statistical techniques: Hidden Markov models, k-means cluster analysis, time series analysis, neural networks, naïve Bayes classifiers, text mining, OLS/logistic regression, linear programming, simulated annealing, constraint satisfaction

PROFESSIONAL EXPERIENCE

Confidential, McLean, VA

Quantitative Analytics, Sr.

Responsibilities:

  • Cluster analysis and segmentation of single-family mortgage data
  • Estimation of mortgage default risk (R, Python, Spark)

Confidential, Bethesda, MD

Data Scientist

Responsibilities:

  • Data wrangling of medical encounter data for brain injury patients at Veterans Administration medical facilities (R, Python)
  • Construction of time-dependent Hidden Markov Model to identify cofactors in development of post-traumatic stress disorder from concussions

Confidential

Data Scientist

Responsibilities:

  • Analysis of reach data from cable TV subscribers for audience forecasting (Perl/MySQL)
  • Extension of Gurobi integer programming solver for optimization of television advertising placement

Confidential

Senior Scientist

Responsibilities:

  • Analysis of e-commerce Web site metrics for  optimization algorithms (Matlab/R/Perl/MS SQL Server)
  • Implementation of affinity analysis for retail transaction log data
  • Implementation of Web scraper for competitive price tracking

Confidential, San Francisco, CA

Data Scientist

Responsibilities:

  • Statistical prediction of stock market price movements from sentiment analysis of relevant Twitter messages
  • Sentiment analysis NLP algorithm with SVM classifier for social media text
  • Trend detection algorithm for Twitter stream topics
  • Statistical NLP algorithm for topic extraction
  • Simulated annealing optimization of parameters of search result ranking function
  • Time window selection algorithm for search result presentation
  • Eigenvector centrality algorithm for Twitter and Google+ user influence ranking (implemented in Amazon Web Services Elastic MapReduce)
  • Scheduling algorithm for Google+ profile site crawler

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