Computer Engineer, Master in Quantitative Finance and curruntly studing a master in Data Mining and Knowledge discovery. I've been developing backend software, tools and plugins to international companies for the last 10 years. I code in Python, Perl, Java and C. All my developments run on Linux and Unix environment. I manage Linux servers, DB Engines, Tomcat/apaches servers and most well known Linux tools and services. For statistical analysis I work with R, SPSS and MatLab.
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Luke Green Agency Contractor
I am an honors double major in Mathematics and Applied Math/Statistics at Stony Brook University and founder of Vivaldi Analytics, a small data analysis startup based on Long Island. I have a large amount of experience with R - specifically machine learning algorithms, data visualization (using ggplot2 primarily), and data cleaning. I've been working as a statistics consultant both independently, and for my company for the past year. I've completed work for a variety of individuals and companies, such as the Faculty-Student Association at Stony Brook and StatSocial ( http://www.statsocial.com/ ). I also have experience creating data analysis applications using R Shiny. For some examples of my past projects, please see: http://www.vivaldianalytics.com/r-shiny-1.html You can also try out a free version of Violin, one of my company's survey analysis products here: https://vivaldianalytics.shinyapps.io/Violin/ If you have any questions about my services, please contact me on Skype at luke.green853.
Tom M. Agency Contractor
Seasoned engineer with over 20 years of experience in complex algorithm development for signal and image processing applications. Have worked in algorithm and software development as both a leader and a follower. MSEE, BSE, BSCS, Math minor and a recent data mining certificate 3 US patents to date Keywords: DSP signal and image processing, quantitative algorithms, pattern recognition and feature extraction, speech/audio processing, speech recognition, biometrics, OCR, C/C++/Matlab/Octave/Python/R/SAS/Weka/OpenCV, data mining and statistics, time series and forecasting, GPS, Google analytics/adwords/maps, MT4 FOREX analytics, data mining, statistics, SIFT/SURF features, NumPy/SciPy/Pandas/Mahotas/PIL/Matplotlib, accelerometer, gyroscope, magnetometer, Raspberry Pi, RPi, ARMA, ARIMA, cointegration
I have been developing software for data-intensive applications for over 15 years. My experience includes business intelligence, data warehousing, Key Performance Indicator reporting, dashboards, Service Level Agreement tracking, application monitoring, recommendations, targeting, fraud prevention, risk analysis, optimization, machine learning, data mining, predictive analytics, funnel analysis, A/B tests, instrumentation, web analytics, and legacy code repair. Technologies I love include Ruby, Python, MySQL, MongoDB, RSpec, Jenkins, Capistrano, CodeClimate, git, R, Weka, SPSS, Hadoop, AWS, S3, star schemas, ETL, refactoring, KISSmetrics, Google Analytics, Omniture, and agile processes.
I am passionate about quantitative investigative methods and data analysis. I have experience utilizing a variety of methodologies and tools, including R, Python, and Tableau in order to answer data-related questions. I have a B.S. from MIT, and have a strong background in experimental design, statistical analysis, data visualization, and machine learning techniques. I am able to provide writing and coding samples of my past work, for a few of my past projects, please check out https://github.com/rowanv .
I am an experienced GeoInformation, Statistics & Data Systems Specialist in research. I use a range of GIS and remote sensing software in research, mapping and development. These include, Esri ArcGIS, Erdas Imagine, ENVI, Mapwindow and Quantum GIS. For spatial database management, I work with PostgreSQL, Multi-user Geodatabases of ArcGIS, SQL Server and MySQL. I am well conversant with Server applications for sharing geospatial data and use OpenGeo suite for applications development. My server applications include; Geoserver and ArcGIS server. As a researcher, I have a very good working experience in statistical analysis for spatial, social and bio-statistics. I use SPSS, R, Minitab, PAST and Excel software for various statistical data analysis. My career objective is to be the best GeoInformation specialist around the world with command in Desktop GIS, Geostatistics, Web Mapping and Spatial database management.
Besides the main common GIS tasks, like cartography, remote sensing, generalization and map design, I'm qualified in spatial analysis and geostatistics allowing to make sense of spatial data. I write Python, Matlab and R scripts in order to automate your most commons GIS workflows. Exeperienced with most common proprietary software like ArcGIS, PCI Geomatica and IDRISI, as well as open source tools, including QGIS, GRASS, PostGIS and SPRING.