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Ganesh Jagadeesan has a diverse range of work experience spanning multiple industries and roles. Ganesh is currently working at Dataminr as a Software Engineer III, specializing in AI. Prior to this, they held the position of Software Engineer II, also in the AI field, at the same company.

Before joining Dataminr, Ganesh worked as a Data Scientist at Raymond James. In this role, they collaborated with senior data scientists and infrastructure teams to develop a machine learning system for regulating email communications. Ganesh also contributed to the creation of a Flask API for serving NLP models and trained ML models on GCP using AI Platform.

Ganesh gained research experience as a Graduate Research Assistant at UIC Electronic Visualization Laboratory and as a Research Assistant at UIC College of Applied Health Sciences. In these positions, they worked on projects related to misinformation detection and developed skills in deep learning, NLP techniques, web scraping, and information mining.

Ganesh also worked as a Research Engineer at Neubay, Inc on a remote basis, contributing to research projects. Prior to that, Ganesh worked as a Software Engineer at Scope e-Knowledge Center, where they developed a software for chemical compound extraction from patent documents and researched keyphrase extraction for academic document retrieval.

Earlier in their career, Ganesh gained experience as a Web Developer at IBM India Private Limited, where they created an analytics and visualization engine. Ganesh also worked as a Winter Intern at The Binary Workshop, where they developed an application for seat/room bookings and resource management for a co-working space.

Overall, Ganesh Jagadeesan has a strong background in software engineering, AI, data science, research, and web development, with a focus on utilizing machine learning and NLP techniques in various domains.

Ganesh Jagadeesan completed their Bachelor of Technology (B.Tech.) in Computer Science at SRM University from 2012 to 2016. Ganesh then pursued a Master of Science (MS) in Computer Science at the University of Illinois Chicago from 2017 to 2019.

In addition to their formal education, Ganesh has obtained several certifications related to machine learning and artificial intelligence. These include certifications in TensorFlow in Practice from deeplearning.ai in September 2019, Art and Science of Machine Learning, Feature Engineering, Intro to TensorFlow, Machine Learning with TensorFlow on Google Cloud Platform Specialization, Convolutional Neural Networks, Deep Learning Specialization, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Sequence Models, Structuring Machine Learning Projects, and Neural Networks and Deep Learning from Coursera in 2018. Ganesh also holds certifications in CaltechX CS1156x: Learning From Data (Machine Learning), BerkeleyX: Big Data Analysis with Apache Spark, BerkeleyX: Distributed Machine Learning with Apache Spark, BerkeleyX: Introduction to Apache Spark, and MITx: The Analytics Edge from edX in 2016. Furthermore, Ganesh has completed certifications in Machine Learning: Clustering & Retrieval, Machine Learning: Classification, Machine Learning: Regression, and Machine Learning Foundations: A Case Study Approach from Coursera Course Certificates in 2015 and 2016.