Jayaganesh Govindaraj

Jayaganesh Govindaraj (JG) has a diverse work experience in the field of data science and artificial intelligence. Jayaganesh started their career as an Analyst Programmer at Syntel in 2007 and worked there until 2010. Jayaganesh then joined DXC Technology as a Senior Data Scientist, where they worked on various data analytics assignments for clients, particularly focusing on machine learning, deep learning, NLP, and big data. In 2016, JG joined Altimetrik as an Artificial Intelligence Lead, overseeing AI projects. Currently, they are working as a Principal Data Scientist at Synechron, contributing to the development of their AI platform "Neo" and implementing cutting-edge AI solutions for the financial services industry, including NLP, chatbots, RPA, and cognitive machine learning.

Jayaganesh Govindaraj (JG) completed their high school education in Mathematics and Computer Science at John Paul HSS from 2001 to 2003. Jayaganesh then pursued an Engineer's Degree in Electrical and Electronics Engineering at Anna University from 2003 to 2007. Additionally, JG has obtained several certifications in various fields, including Probability, Data Science, Deep Learning, AWS, Apache Spark, Statistics, Data Science Team Building, Ethereum Development, Flying Car Nanodegree Program, Functional Programming, Big Data, Data Science in Python, Machine Learning, MongoDB Certification, Natural Language Processing, and Neural Networks for Machine Learning.