Relevance AI
Aman Arora is a skilled AI professional with extensive experience in data science and machine learning. Currently serving as the Lead AI Engineer at Relevance AI since November 2024, Aman has previously held prominent roles including Data Science Lead at REA Group and Machine Learning Engineer at Weights & Biases. A background in data analysis and consultancy was developed through positions held at CoreLogic Australia, General Assembly, Event Hub, and GRONADE. Aman holds a Data Science degree from General Assembly, a Master of Technology in Information Technology from Charles Sturt University, and a Bachelor of Technology in Electrical, Electronics, and Communications Engineering from Maharaja Surajmal Institute Of Technology.
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Relevance AI
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At Relevance AI, our mission is to help teams create "light bulb" data moments. Moments where you realize something impossible is possible now and the significant impact of it. This moment can ignite essential use cases such as unstructured data analysis, topic modelling, recommendations, semantic search, zero-shot classification, etc. Unstructured data exists in many forms, such as text fields in your CSV, SQL tables, PDFs, Audio transcripts, Images, Videos, etc. "The 80% Blind Spot: Are You Ignoring Unstructured Organizational Data?" - Forbes