Data Scientist with a team creates a cloud-based analytics and visualization platform to provide real-time insights for asset performance and predictive modeling across the globe.
Experienced in data processing, predictive modeling, and data visualization, it is an exciting time to be a Data Scientist, and so lucky to be able to work in this field in my future time.
These are some sections I’ve done. For more detail works you can visit me on github.
Solving problems by transforming into graphic with search techniques and algorithms, compute and implement logical inference with relative algorithms. Applying machine learning algorithms to real database and build predictive models for tasks. etc.
Tools: Python, Prolog
Analysis data with conducting appropriate statistical modeling techniques: regression, classification, clustering and so on, and interpret to a non-user of statistics can be understand. Use R completely and write a scientific and technical report.
Tools: R, MD
Develop programs using OpenGL to model and render three dimensional scenes, Design and implement three-dimensional transformations and lighting models e.g. Ray Tracing, shader based methods for programming the graphics hardware.
Tools: OpenGL, C++, PS
Analyze a network topology, set up and configure OSPF routing for the given topology. Design and implement Routers with OSPF, RIP, BGP protocols. Design algorithms for traffic engineering and network flow problems as optimization problems
Cplex, Python
write web application in PHP, JavaScript, Node.js, using MySQL or MongoDB for persistent storage, with data queries and updates. Understand the principles behind AJAX. Using MCV, Vue.js, HTML5 to design and implement a web service with AJAX, SOAP-based and RESTful.
Tools: Mysql, Express6.0, JavaScript, HTML5, CSS, Vue.js