You should only hire me if you want a Data Scientist to create a solution to your problem. Math & Statistics: machine learning, statistical modeling, experiment design, Bayesian inference, Supervised learning: (decision tees, random forests, logistic regression), Unsupervised learning: (clustering, dimensionality reduction), Optimization: (gradient descent and variants) Programing & Database: Computer science fundamentals, Python, R, SQL, NoSQL, relational algebra, parallel databaes and parallel query processing, MapReduce concepts, Hadoop and Hive/Pig, custom reducers Domain Knowledge & Soft Skills: Passionate about the business, curious about data, influence without authority, hacker mindset, problem solver, strategic, proactive, creative, innovative and collaborative Communication & Visualization: Able to engage with senior management, story telling skills, translate data-driven insights into decisions and actions, visual art design, visualization (D3.js, ggplot, Tableau)
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Hello, I am a Data Analyst with 5+ years professional experience with a background in scientific research including publishing peer-reviewed papers. I have BSc (1st class honours) in Geographical Information Systems with Computing. I am most interested in contracts that would take advantage of my R skills for data analysis and visualisation. Including: geospatial analysis, statistical modelling, data mining or building shiny data apps. A summary of my skills and experience: - Diverse types of research including geospatial analysis, statistical modelling, image analysis, GIS. - Daily use of R with experience of packages such as: dplyr, ggplot2, caret, sp, rgdal, gstat. - Developing interactive data tools using R’s ‘Shiny’ framework - Also have experience scripting in Python and SQL Statisitcs: - Linear regression, principal component analysis, t-tests. - Machine learning algorithms (random forest, neural networks) - Cluster Analysis (unsupervised classification) - Non-parametric significance testing (monte-carlo simulations) - Geo-statistical Interpolation (kriging) Other: - Image Analysis: Object-based image segmentation - Textural analysis for pattern recognition - Working with PostgreSQL/postGIS databases - Software: ESRI ArcGIS; Erdas Image; GRASS; QGIS; eCognition; SPSS.
I provide consulting services for elegant quantitative information visualizations suitable for investors, clients, and key stake-holders. I use the statistical language R for better control over the design elements of a set of data in comparison of using Excel alone.
I'm a passionate and multifaceted intrapreneur helping create more value out of internet technologies since 1997. My current focus revolves around applying data science to the fields of quantified-self, crowd-funding, the sharing economy and other transformative technologies. I have more than 8 eights web and mobile development and product management experience. Technologies includes Django, Ruby on Rails and iOS.
I have over 14 years of IT experience as Analyst. I’m currently studying towards a Data Science Specialization from Johns Hopkins offered via Coursera. My coursework focuses on programming with R and statistical analysis. Skills: - R programming (code, functions) - Getting and Cleaning Data (from csv, txt, xlsx, websites and XML/HTML documents and etc) - Exploratory Data Analysis (observefd research, visualiastions, summary statistic, etc) - Statistical Inference Specialties: - Statistical Analysis - Predictive Analytics - Database Research - Socio-economic Research - Demographic Research
I'm a 5-year Python veteran with interests in Web Scraping, Desktop Application design and more. While I can build an application from scratch, I'm also open to collecting and cleaning up data from any source to help your business grow. I am also an experienced (> 6 years) teacher and would be glad to show you how to use Python, R or any other programming language to attain your goals. Feel free to reach out with any questions!