Fellow Predictive Modeler Resume

SUMMARY:

Interested in a challenging, leading position in statistical data analysis, risk assessment, predictive modeling and pattern recognition.
Qualified in client focused problem identification and formulation. Experienced in leading team efforts in the development of solutions.
Skilled in delivering results to clients and 3rd parties. Knowledgeable in pattern recognition, knowledge extraction, neural networks, biometrics, statistical learning theory, Bayesian networks, adaptive learning algorithms, mathematical modeling, statistics, probability and algorithm design.
Pattern recognition and statistics for forensic/biometric applications
Mathematical modeling in security, bioscience and chemistry
Statistical diagnostics via distributed testing
Network traffic statistical analysis e.g. Bloom filters
Data representation, features selection, knowledge discovery
Radio frequency field reconstruction based on mobile data sources for modeling, capacity planning and traffic engineering
Fault detection algorithms and diagnostics in manufacturing and service systems
Telephone fraud management algorithms
Computational molecular biology
Fast microarray gene expression data analysis
Computational medical diagnostics
Design and statistical performance testing
Infinite dimensional statistics; Application to learning underlying phenomena from inaccurate distributed measurements
Time series prediction
Non - parametric and parametric methods
Mathematical modeling of deterministic and stochastic dynamical systems
Mathematical models of collective behavior and self-organization
Probability theory and Monte Carlo method
Computer Algorithms for mathematicalmodeling

PROFESSIONAL EXPERIENCE:

Confidential

Fellow Predictive Modeler

Responsibilities:

Company’s resource for consulting and mentoring in predictive modeling, statistical learning/pattern recognition and general statistics/probability.
Search for best subset of predictors(Attractors Search Algorithm, ASA), avoiding combinatorial explosion of computational complexity
How to convert intractability into tractability: Dependency Braking Subsets (DBS) of attributes
Fraud detection and prevention: “self cleansing” network of anonymous agents(providers)
Identification via driving patterns
Zero premium insurance

Confidential, Monterey, CA

Research Professor

Responsibilities:

Focused on solving military problems requiring the use of advanced mathematics and complexity theory
Presented strategies and acquired funding for various research projects
Led formulation and presentation of solutions to the Navy
Was involved in developing optimal testing strategy for fault discovery in software and hardware systems
Prediction of events of significance by establishing multiple dependencies of internet traffic patterns among suspected subjects

Confidential, San Francisco, CA

Lead Scientist

Responsibilities:

Group leader
Statistical support of biometric testing of systems and devices
Authentication algorithms design and performance analysis

Confidential, Palo Alto, CA

Research Scientist

Responsibilities:

Reliable inference from unreliable data: statistical foundation for mobile/distributed measurements, statistical learning theory
Statistical analysis of the Internet traffic: load balancing algorithm, confidence level assessment for the set of largest contributors into the traffic volume
Research in Computational Biology
Effective search for multiple gene expression dependencies to identify suspects related to a condition under investigation
Developed and tested algorithms for gene network exploration, fast feature selection for classification, diagnostics, clustering and treatment planning

Confidential, Palo Alto, CA

Research Scientist

Responsibilities:

Lead research and development team
Developed mathematical models and algorithms for: Demand forecast for manufacturing planning, non-linear systems identification, fault diagnostics for electronic manufacturing, and fraud management software products
Cost/time effective test algorithms for integrated circuits
Best next test selection algorithm

Confidential, San Ramon, CA

Sr. Technical Consultant

Responsibilities:

Led statistical business process performance analysis
Developed Monte Carlo technique for business process modeling and simulation; time series diagnostics and prediction; optimal investment portfolio design and cost-value analysis

Confidential, San Jose, CA

Professor

Responsibilities:

Taught variety of statistical and mathematical courses at the graduate and undergraduate level
Method for comparing a value to a threshold in the presence of uncertainty.

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