Tibil Solutions
Anil P. is a Data Scientist with extensive experience in the field, currently working at Tibil Solutions since June 2023. Prior to this role, Anil served as a Data Scientist at DataPravid Private Limited from January 2022 to June 2023 and began the career as a Machine Learning Trainee at iTrain Technologies from August 2019 to December 2021. Anil holds a Master of Computer Applications (MCA) degree in Computer Applications from the National Institute of Technology, Tiruchirappalli, obtained from 2014 to 2017, and a Bachelor's degree in Computer and Information Sciences and Support Services from Softvision Institute of Technology & Science, Vijay Nagar, Indore, completed from 2009 to 2013.
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Tibil Solutions
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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