TRAILBLAZER
Building solutions to real-world challenges
Name : Aishwarya Srinivasan Role : AI & ML Innovation Leader - Business Development Company : IBM , Data & AI
Aishwarya Srinivasan is the artificial intelligence ( AI ) and machine learning ( ML ) Innovation Leader at IBM , Data & AI and currently lives in California . She works cross functionally with the product , data science and technology sales team to research AI use-cases for clients by conducting discovery workshops and building assets to showcase the business value of the IBM Cloud Data & AI suite of products . Showing great promise from an early age , while at Delhi University , she developed a handwriting character recognition system in MATLAB and used this software to perform research on forensic science and handwriting analysis . The model could estimate the characteristics of the handwriting notes based on inheritance of features like skewness , kurtosis , slant , margin-gap , inter and intra word space . Srinivasan ’ s research was published in the International Journal of Research in Engineering and Science .
LinkedIn Top Voices for Data Science & AI
2020
The Innovation Leader worked with Tata Consultancy Services to build a real-time video encryption algorithm to stream video over from cloud in collaboration with DirecTV , giving her a good understanding in cloud computing technologies .
By the time she graduated in 2017 , Srinivasan had completed 10 internships in data science , AI , and cloud computing ( including TCS , International Management Institute , Ernst Young , National Informatics Center , iTech Mission and Microsoft to name a few ) along with four research publications .
Srinivasan ’ s experience with solving real-world problems using data science and machine learning ignited her interest to pursue her higher education in the same field . So , she applied for her master ’ s in data science to her dream school – Columbia University . Even though her family was not financially capable to afford her education at the Ivy League , her determination secured
20 January 2022