Big Data Science Research (BDSR) is a Bangalore based data sciences innovations company providing services in solutions development for big data and text mining business problems.
We specialize in developing solutions for root cause analysis using data mining, deep learning, predictive modelling and text mining problems. We help in implementing the solutions by using a variety of technologies stack that include SAS, Spark, Python, R Statistics, NLTK and various Hadoop based technologies. We work with multiple key business stake holders in ensuring resulting analytics solutions are actionable and valuable to them.
Founder and CEO
Dr. Raghava Rau Kothapalli is a eminent Data Scientist who has done many innovations in Analytics & Optimization Areas. He is expert in solving large scale business problems using Machine Learning, Optimization and Predictive Analytics. He was principal mentor for Dell Global Analytics team who reached finalist at Informs Edelman Award 2013.
Some of his key projects where he developed innovative algorithmic solutions using Machine Learning and optimization are: Topics modelling for problems categorization, deep learning based recommendations of knowledge articles to technical problems, Cargo Revenue Optimization, Capability to Commit, Configuration Optimizer and Retail Margin Maximizer (part of Dell’s Edelman work).
Solutions Head
Swarna Mylavarapu , M.S. Computer Science is a leading data scientist with 16 years of experience in developing analytics solutions for Internet of Things (IOT) data based business problems. She has three patents, two publications in ACM and an award at IBM. Her experience includes developing predictive analytics solutions for a variety of IOT data based business problems including machines failure detection, capacity planning of virtual infrastructure under varying workloads, smart office solutions for energy saving based on employees’ activities, cryptography and virtualization management control solutions.
Some of his key projects where he developed innovative algorithmic solutions using Machine Learning and optimization are: Topics modelling for problems categorization, deep learning based recommendations of knowledge articles to technical problems, Cargo Revenue Optimization, Capability to Commit, Configuration Optimizer and Retail Margin Maximizer (part of Dell’s Edelman work).