Data Scientist Resume Cambridge, MA - Hire IT People

SUMMARY

Data scientist wif 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, SPSS Clementine/Text Miner

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

Operating systems: Ubuntu/Linux, FreeBSD, Solaris, Windows XP/NT

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, Cambridge, MA

Data Scientist

Responsibilities:

Analysis of reach data from cable TV subscribers for audience forecasting (Perl/MySQL)
Extension of Gurobi IP model for optimization of ad placement

Confidential, Roseville, CA

Senior Scientist

Responsibilities:

Analysis of e-commerce Web site metrics for incorporation into price 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 wif 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

Confidential, Sunnyvale, CA

Senior Researcher

Responsibilities:

Social network analysis for Web advertising behavioral targeting models
Cluster-based customer segmentation and user dynamics analysis from Web interaction data, using k-means and multinomial mixture probabilistic clustering
Model-based time series classifier for IP addresses used in spammer detection

Confidential, Santa Clara, CA

Senior Staff Engineer

Responsibilities:

Naïve Bayes text mining classifier for predicting risk of customer escalations of software defects from software defect reports
Neural network model for predicting defect escalation risk from defect characteristic data and product history
Design of model for prediction of system outage risk from semi-structured configuration data and maintenance and outage history

Confidential,Seattle, WA

Technical group leader

Responsibilities:

Hidden Markov model for predicting customer propensities from Web responses
Rasch adaptive-response model for Web-based interactive survey system based on response-curve parameterization and dynamic Bayesian question selection algorithms
Recommender system for cross-selling of consumer financial products

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Data Scientist Resume

Cambridge, MA

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