Summary
Kailash Somu is a data analyst and machine learning practitioner with 8 years of experience and 2.5 years focused on ML and analytics, currently building real-time forecasting, recommendation, and anomaly-detection systems for IoT at ITHENA. He has a strong track record of turning proofs-of-concept into production projects, reducing error rates via pragmatic apps and automating ETL with robust KNIME workflows. Past roles include time-series anomaly forecasting for security at Securonix and lightweight document- and signature-detection models for financial and insurance pipelines, reflecting both applied research and product delivery strengths. Comfortable across dashboards (Grafana, PowerBI, Domo), APIs (Flask), and scraping/automation, he blends hands-on engineering with an appetite for continuous learning. Based in Glen Allen, VA, Kailash holds an MS in Computer Science from UT Dallas and often prioritizes solutions that cut operational risk as much as they advance analytics.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at The University of Texas at Dallas
Bachelor of Engineering Computer Science, Bachelor of Engineering Computer Science at Sri Venkateswara College of Engineering
Tamil, English