DataFactZ Data Science Engineer to Present at IEEE SusTech Conference
NORTHVILLE, Michigan (October 7, 2016) – Vivek Vajjala, a data science engineer with Northville, Michigan-based analytics company, DataFactZ, will speak to attendees of IEEE’s SusTech Conference in Phoenix on October 11, 2016 at 11 a.m. The SusTech Conference aims to explore the development and application of science, engineering, and technology to promote sustainability.
Vajjala’s presentation, “A Novel Solution to Use Big Data Technologies and Improve Demand Response Program in Aggregated Residential Houses,” will cover a variety of topics on big data analytics’ role in the utility industry, specifically related to demand response.
“Demand response is a voluntary program that allows consumers to save money and utilities to conserve energy by remotely controlling heating and air conditioning systems during peak usage times,” said Vajjala. “Analytics solutions help utilities use the data they collect to gain real time insights and updates on peak usage times and peak price periods to determine the best times to employ demand response to ensure reliability of the electric grid and manage electric costs for customers.”
DataFactZ develops big data and analytics strategies and solutions for companies across a variety of industries. In the energy and utilities industry, the company applies advanced analytics to help companies maintain and improve system reliability, stability and customer satisfaction.
Vajjala holds a Bachelor of Science in Electrical Engineering from Jawaharlal Nehru Technological University in Hyderabad, India and a Master of Science in Electrical Engineering from Wichita State University in Wichita, Kansas.
DataFactZ is a global business analytics company based in Northville, Michigan that provides consulting and implementation expertise to solve complex data issues organizations face in the modern business environment. The company helps large enterprises manage and leverage Big Data and Advanced Analytics with a suite of services in Data Engineering, Data Science, and Decision Science. By being able to solve some of the most complex business problems, DataFactZ produces high-value, industry-specific IT results for its more than 130 clients. Its unique hybrid delivery model provides cost-effective solutions and project control through a mix of onsite, offsite and offshore services. DataFactZ assists organizations in designing and deploying a technology platform that delivers on multiple levels. For more information, visit www.datafactz.com, and follow DataFactZ on Facebook, Twitter and LinkedIn.