OpenSimulator Community Conference 2015 

The OpenSimulator Community Conference is an annual conference that focuses on the developer and user community creating the OpenSimulator software. Organized as a joint production by Core Developers of OpenSimuator and AvaCon, the virtual conference features presentations, workshops, keynote sessions, and social events across diverse sectors of the OpenSimulator user base.

More info at: http://conference.opensimulator.org and to register, go to: https://oscc15.eventbrite.com

avatar for Reina Lingle

Reina Lingle

Social Matters Management
Digital Media Strategist/Associate Big Data Analyst
Excited by the disruptive technology that doesn't settle. Always something more to learn which requires daily digestion. Ever-changing topography of the way we collaborate and gather information.

Ready to engage, roll up my sleeves, and strategically provide solutions for your brand utilizing digital media best practices. Providing relevant information that generates an interactive relationship with listeners. Enriching the customer experience by listening and responding in real time. Tracking and compiling metrics associated with digital media providing insights to refine digital media campaigns.

Making sure your social media activity is more than being in the space. Make it interactive and meaningful to all prospects, clients, and loyal customers. Develop a strategic digital media campaign that drives continuity in earning your customers’ trust by delivering useful, high valuable content continually and creating a solid platform of communication.

Currently obtained 64 hours of a 80 hour certification course at Emory University titled, Accelerated Training in Big Data/Data Analytics.

Topics covered throughout the course of study include; Fundamentals of big data, What is Data?, Data Warehousing, Data Mining, Data Modeling, Descriptive Analytics, Predictive Analytics, Data Visualization, lectures, labs and assignments covering Splunk, a software for searching, monitoring, and analyzing machine-generated big data, via a web-style interface. Labs and class assignments using R, RStudio, and Rattle. Condensed applications in the Data Mining process including:

1. Business Understanding
2. Data Understanding
3. Data Preparation
4. Modeling
5. Evaluation
6. Deployment

Class labs and assignments building linear regression, logistic regression, decision trees, Neural Networks, and Naive Bayesian models using RapidMiner, an open source intuitive GUI for design of analytical processes.

Interested in exploring how my skills can help IoT, VR, and VW companies analyze the Big Data and deliver insights surrounding their business objectives.