Tibil Solutions
Srihari Allamsetti is a seasoned executive with extensive experience in data engineering and analytics. As Chief Executive Officer and Co-founder of Tibil Solutions since June 2010, Srihari has developed a company that empowers enterprises to make data-driven decisions in real time. Prior to this role, Srihari served as Head of Delivery and Operations at NettPositive and Director at Mu-Sigma, where contributions included transitioning two proofs of concept into established projects. Additional roles include Senior Manager at Dell, where Srihari established the Marketing Analytics division, and Senior Marketing Manager at HSBC, focusing on credit card portfolio management and revenue strategies. Srihari started a career as an Engineer at Reliance Industries. Srihari holds an MBA in Finance and MIS from Indiana University - Kelley School of Business and a Master of Science in Instrumentation from Birla Institute of Technology and Science, Pilani.
This person is not in any offices
Tibil Solutions
1 followers
We are a data engineering and analytics company enabling organizations leverage data for competitive advantage. TIBIL enable businesses from Banking & Financial Services, Retail, Healthcare, Manufacturing, Social Sector verticals to achieve better agility, growth and profitability. Our name TIBIL is derived from Mayan script meaning “GOOD”. Founded in 2010, TIBIL is headquartered in Bangalore with offices in Illinois and Hyderabad, India. We serve more than 60 clients in USA, Middle East, APAC and India. We have a strong leadership team with collective experience of 150+ years and pedigree of working in F500 companies. Our solutions help you achieve your business goals through reliable and intelligent data management. We offer data validation, data engineering and feature engineering services to integrate, verify, prepare and transform data into formats that can be accessed by analytical models and tools. We drive data analytics using new generation data analysis tools, ML/AI, and industry-grade statistical models to deliver advanced, real-time analytics. We leverage our iDEA framework to: 1) Integrate and organize large volumes and diverse formats of data from disparate sources 2) Transform the prepared data into derived variables 3) Analyse the data and build models for analytical solutions 4) Derive insights to help you architect key decisions We help you find answers for the following in your quest to derive insights for your business initiatives: 1) Do we have all the data that I need? 2) Have we considered all sources of data? 3) Is our data accurate and reliable? 4) How do we make sense of the data generated from initiatives such as IoT, mobility and cloudification? 5) How do we convert these huge volumes of data into a format that I can leverage for analytics? 6) How do we convert all my data to get visual reports for forecasting, app usage, user behavior patterns? 7) How do we leverage ML and AI algorithms and models to convert data to business insights