Kavitha Thangasami

Background

About Kavitha Thangasami

Currently focusing on Deep Learning, augmenting machine intelligence in building models, Big data Analytics Research - AI, Prescriptive Analytics based on the Predictive Intelligence Analytics - building actionable intelligent models Working with Leading Big Data Analytics Organizations in the design, development of high performance cost effective solutions. Focusing on Hadoop EcoSystem tools - MapReduce, Mahout, Hive, Sqoop in building optimized architectures with NoSQL DataStores -Hbase, Cassandra, MongoDB, Hive, ETL tools and R. Applying Big Data Analytics to Information Governance. Developing innovative scalable solutions for massive data enterprises - Unstructured Text Mining, Fraud Detection and Automated Anomaly Detection, Recommendation Engines for Marketing and Sales Plans, Real Time Processing to unlock unrealized value of big data for enterprises' better performance and future expansion Strong research background in Machine Learning, Supervised, Unsupervised, Semi Supervised Learning, Social Media Analysis, Predictive Analytics, Formulating Predictive Intelligence Roadmap, Pattern Recognition, Text Mining, Sentiment Analysis, Analytical Reporting, BI Consulting, Data Visualization Received PhD in Computer Science and Engineering from Sathyabama University in 2013. Successfully led an educational institution - from 400 to 1200 students, a team of 40 faculty members. Exceptionally organized with excellent communication and social skills,self starter, a critical thinker and goal focused. Self motivated achiever with excellent decision making skills, counselling traits, innovative visions, eminent initiatives and technical management leadership.