Associate Director, Data Science & Engineering at RTX
📍 New York City Metropolitan Area, United States
Arvind Kandaswamy is a results-driven Data and AI leader, currently serving as Associate Director of Data Science & Engineering at RTX. He specializes in architecting enterprise-grade, cloud-native data platforms for the manufacturing, retail, and finance sectors. A graduate of Loyola College, he holds multiple AWS certifications, including Big Data Specialty.
He has a proven track record of leading machine learning projects that successfully reduce operational downtime and optimize industrial processes, turning complex data into actionable business insights.
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Experience
34 Years
Current Role
Associate Director, Data Science & Engineering
Job Level
Mid-senior
Location
New York City Metropolitan Area, United States
Personality Overview
How Arvind shows up
Fast But Analytical
Thorough Evaluator
Quality Focused
They are not very likely to become strong advocates of your product or service They focus on the results, but can still be quite procedural and analytical about how to get there They have a unique set of diverse traits where they are decisive and methodical but can sometimes be extra cautious and skeptical
Priorities
Topics Arvind cares about
Industrial IoT
His expertise includes building IIoT-enabled infrastructures and applying Industry 4. 0 principles to improve operational efficiency in manufacturing settings.
Cloud Data Platforms
He is highly skilled in architecting scalable data ecosystems using technologies like AWS, Snowflake, and Azure Databricks, supported by multiple AWS certifications.
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Career
Work history
9-2019
Associate Director, Data Science & Engineering
RTX
4-2018 - 9-2019
Technical Director, Data Science & Engineering
Mindtree
2-2017 - 3-2018
Senior Manager, Data & Analytics
IBM Watson Content & IoT Platform
8-2014 - 1-2017
Senior Technical Architect
EIS Group Ltd
9-2013 - 7-2014
Senior Solutions Architect
AIG
In the press
Media appearances
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Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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