Amit Arora

Amit Arora

 

Over the last 23 years, Amit has held leadership roles in AI, Applied Analytics & Product Management with companies like Swiss Re, Genpact, Cisco, Vodafone & GE, and helped generate over $1Bn in new revenues by conceptualizing, launching and scaling more than 20 B2B SaaS products.

As an Entrepreneur, Amit also launched the world’s 1st AI-driven Catastrophic Cyber Risk Estimation Framework – called the ARORA CATcyber Gauge - with a focus to help alternative reinsurance capital & reinsurance linked investments independently estimate the quantum of risk they are buying from the reinsurers.

Amit also sits on the board of 2 organizations: InsureTechConnect, the world’s largest insurance conference, & Childhood Leukemia & Lymphoma Foundation, and also serves as an Adjunct Professor for Healthcare Management at Chitkara University, India.

Amit has successfully filed & received multiple patents in Artificial Intelligence. Some of them are being actively used by corporations to power their platforms and solutions. The notable ones are:

  • Switzerland Patent CH000281/2023, entitled “Artificial Intelligence & Machine Learning techniques to predict financial losses due to a cyber breach”.
  • U.S. Patent 63/059,482 & 17/390303, entitled "Semantic Vehicle Parts Segmentation for Cognitive Vehicle Damage Assessment".
  • U.S. Patent 16/875,863, entitled “System & method for artificial intelligence-based determination of damage to physical structures”.
  • U.S. Patent 10,389,971, entitled "Embedding Video content in portable document format files”.

Amit is also proficient in the following technology stack:

  • Product Management: Aha!, SurveyMonkey, Figma, Okta, MS Teams, JIRA, Google Analytics, Amplitude, Github, Hubspot.
  • ML techniques: Supervised & Unsupervised Learning, Bayesian Models, Reinforcement Learning, Stochastic Models.
  • Frameworks & Libraries: TensorFlow, PyTorch, Scikit-Learn, Keras, NLTK (Natural Language Toolkit), Spark, Computer Vision, NLP, Sentiment Analysis, Reinforcement Learning, Stochastic Naive Bayes, ResNet, RLib
  • Engineering tools/solutions: SQL, Python, BigQuery, Databricks, AWS Kinesis, Git, Jenkins, Confluence, Kubernetes, Docker, Splunk, ELK Stack, AWS CloudFormation, REST, Selenium, Tableau, Power BI, Apache Hadoop, Apache Kafka, Apache Spark MLib, AWS Lake Formation, AWS Kinesis, Azure MLStudio, Google Vision API.

Amit received his MBA from Columbia, holds a Masters in Operations, a Bachelors in Electronics Engineering, and attended Columbia Law School – where he received a certificate on Intellectual Property & Global Dispute resolution & arbitration practices.