Project Research Scientist Resume Boston, MA - Hire IT People

SUMMARY:

Advanced skills in data mining and machine learning algorithms (e.g., artificial neural networks)
Experience with predictive model development
Experience with large datasets and database systems
Highly proficient in programming using C/C++, Fortran, and Java
Hands - on experience using Matlab and Stata
Strong Excel and database skills (SQL)
Knowledge of Python, R, and SAS

TECHNICAL SKILLS:

Structral analysis and design software: SAP, AutoCAD, and ADINA

Hazard loss and damage estimation: HAZUS, AIR, ARA

Spreadsheet and word processing: Microsoft Office (Excel, Word, Power Point, Access)

Other software tools: ArcGIS, Solid Edge, Fluent, Tecplot, etc

Data analysis programs: Matlab, Stata, SAS, R

WORK EXPERIENCE:

Project Research Scientist

Confidential

Responsibilities:

Analyzed wind tunnel experimental data to investigate wind loading and aerodynamics of low- and high-rise buildings
Estimated wind loads and responses of high-rise buildings from measured wind pressure data
Investigated interference effects of adjacent high-rise buildings on wind loading of low-rise building

Senior Research Scientist

Confidential, Boston, MA

Responsibilities:

Staff Engineer

Confidential, Raleigh, NC

Responsibilities:

Analyzed insurance exposure databases and hurricane loss claim data from eight insurance companies
Investigated wind-borne debris impact risks for residential structures using a Monte Carlo Simulation method
Estimated tornado outbreak risks to damage multiple transmission lifelines
Modeled wind-induced pressures on gable and hip roofs of low-rise buildings of different roof slopes and eave heights
Developed numerical hurricane wind field models to predict hurricane wind speeds through solving the equation of motions of a translating storm with nested grids and finite difference methods
Developed statistical models to quantify storm forecast errors in track location and intensity of the five-day forecast storms
Developed a probabilistic methodology for estimating uncertainty ranges of damage and loss produced by Confidential Model when modeling a storm scenario based on a NHC Forecast/Advisory
Simulated cross- and along-track and wind speed errors of the forecast storms using multivariate Gaussian stochastic simulation technique according to their covariance matrices
Selected software programs:

Postdoctoral Research Fellow

Confidential, New York

Responsibilities:

Simulated wind velocity time histories at multiple locations, given their auto- and cross-spectral density function matrix

Postdoctoral Fellow

Confidential

Responsibilities:

Implemented four time domain analysis methods for determination of dynamic response of high-rise buildings subjected to random wind loads through industrial projects
Experimentally investigated critical wind speed of four different rooftop elements on low-rise buildings in wind tunnel