Data Analytics - Real Time Trending
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This document provides information about a developer who has experience with real time data analytics using Python, PyQt, and Matplotlib. It describes projects involving real time trending through reading and writing to Modbus and databases and plotting the data, including a DMS dashboard for microgrids, a dashboard for microgrids, and evaluating microgrid performance through key performance parameters with real time data analysis and trending using parallel thread execution. The developer's contact information is also provided.
Data Analytics - Real Time Trending
- 1. Real Time Data Analytics Using Python(PyQt, Matplotlib) Jitendra Lenka Developer for System Software, Embedded Software, and Data Analyst Mobile : +91-9916741220 E-Mail : lenka.Jitendra.2016@gmail.com
- 2. • Front end design using PyQt 4.0 • Backend development using Python 2.7 Technology
- 3. Projects(Real time trending) • DMS Dashboard for Microgrid (real time plot) – Read/Write to Modbus and database interface – Real time trending • Dashboard for Microgrid (real time plot) – Read/Write to Modbus and database interface – Real time trending • Key Performance Parameter (KPP) (real time data analysis and plotting) to evaluate performance of microgrid. – Parallel execution(using Thread) of result for each KPP and Trending
- 4. DMS Dashboard for Microgrid
- 6. Key Performance Parameter (KPP)