I am a chemist with a graduate degree in Chemistry I taught Chemistry both lecture and lab courses in college level and I'm interested in doing technical and scientific research especially with something that has to do with chemistry, biochemistry, organic chemistry, synthesis and modern materials. I am also interested with writing research and business proposal related to chemistry and sciences.
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I have Masters Computer Science with focus on Data Mining and Machine Learning. I have been doing statistical data analysis in R for 2+ years now and have experience working with a variety of single/multiple regression, multi class classification and clustering techniques. On the other hand, I have 5+ years of experience in Software Development and Design in various leading technologies. I have worked for International Customers and helped them growing their business and expanding the profitability. Over the last 5 years, I have developed a wide range Mobile applications, which include iPhone/iPad/Android/J2ME. I have developed both games and eCommerce applications for iPad/iPhone. I have been involved in development of: - Ruby on Rails - iPhone/Android Native Applications for the Enterprise - iPhone/Android Games Specialties: iPhone SDK / Android / J2ME / Symbian / BREW / BlackBerry Cocos2d / Cocos2d-x / Unity3D / OpenGL ES / Quartz 2D Box2d / Chipmunk Ruby on Rails (ROR) C / C++ / Objective-C / Cocoa Framework / C#
I am a data scientist/analyst. My primary tool is R, which I extensively use in conjunction with Python, MySQL, PostgreSQL, NoSQL (e.g. MongoDB), and Linux commands. This is my blog: feelosophy13.github.io. What I do in general: - Data visualization (e.g. interactive dashboards) - Report automation - Machine learning and modeling - Data extraction, cleaning, feature selection, and preprocessing - Data mining and aggregation - API integration Prediction modeling: - Multivariate linear and logistic regression - Classification and regression trees (i.e. decision trees) - Linear and quadratic discriminant analysis (LDA and QDA) - Random forest and variable selection Clustering and segmentation: - Data normalization - Hierarchical and k-means clustering Visualization: - Visualizations via ‘ggplot2’, 'googleVis', and 'rCharts' packages - Interactive dashboard/application using 'shiny' package - Maps visualization
I can offer you 5 years of experience prototyping algo/quantitative investment strategies for a London based hedge fund, excellent programming skills in C#, Matlab, R and VBA and a solid statistical foundation. Technical Skill: C#, Matlab, R, VBA, SQL Education: B.Tech, Indian Institute of Technology(IIT) Focus: • Statistical analysis, Quantitative Trading, Algo Trading, Indicator and Investment/Trading research and implementation Experience : • Strong work experience in quantitative analysis, Quant Financial model, algorithm and high frequency trading research. • Proficient in programming in C#, C++, Matlab, R and VBA and experienced in working with large and complex data sets. Services: • Assist you on your research activities • Back-test trading ideas/investment strategies on equities, futures, commodities, and derivatives for major markets • Prototype trading models from academic literature • Develop and implement trading ideas independently .• Prototype trading models
PhD in Cell and Molecular Biology. Master in Biochemistry. University courses in Business Administration, Public Health, Clinical Trials and French. Experience in scientific writing consists of dissertation, several publications accepted in peer reviewed journals and successful grant applications. I get fast into any scientific topics and knows how to find appropriate scientific references. I am Swedish, living in France, talking English daily and can make accurate translations between French - English - Swedish. I am accurate and always deliver in time.
I started as a physics teacher after my graduation from university but I always had in mind to become a scientist and if possible to combine that with teaching. Also, as I like biology it was always my goal as a scientist to apply physics to the study of biology. During my MSc and PhD research projects, both on plant physiology, I extented further my knowledge on plant sciences, namely plant physiology & biochemistry, plant anatomy and the experimental methods used in these disciplines. Over the last 6 years I have especialized on mathematical modelling of plant transport systems (membrane transport, phloem and xylem transport) for which I used Mathcad as my main tool for solving differential equations. Also, on the experimental level I have experience on isotope labelling, electrophysiology and the standard methods and equipment used in those fields.
I am an experienced data scientist with experience in various predictive methods and text analysis tools. I also have qualifications in Financial Analysis and visualizations. We work on gathering data, creating models and extracting insight to help you make better decisions. Experience with Python, R and AWS using cutting edge techniques and methods, we strive to simplify our analysis to enable anyone to harness to power modern data science techniques
I have 14+ years of programming experience and a Master's degree in Bio- and Medical Informatics. I'm good at User Friendly GUIs, Data Reorganization, File Format Conversions (including text and binary data formats), Web Scrapping, Desktop Applications (Visual FoxPro, C# recently), Databases (a lot of experience), Bioinformatics, Statistical Analysis, R-project (including C code compiled for R to speed up some time consuming computations), SQL, Microsoft Office Excel Automation (VBA code sent from a desktop application to Excel to make it do things), Programs to Automatically fill Acrobat PDF Forms, Text Parsing, Mapple, C, C++, C#, Audio/Video formats conversion, Molecular Biology, Genetics and more. Keywords: Bioinformatics, Desktop Applications, Molecular Biology, Genetics, C, C++, C#, Mapple, PDF Forms, edgelist, edge list, Databases, database, Statistical Analysis, R-project, VBA, Automation, Medical Informatics, Algorithms, algorithm, File Convert, files conversion, Text Parsing, parse, user friendly graphical interface, GUI, Audio, Video, website scrap, scrapping, wordcloud, wordclouds, word cloud, word clouds, C#.