Quantitative Analytics, Sr. Resume
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