Speaker: Ritesh Madan

VP Engineering @celect

Ritesh leads the Engineering team at Celect. His team is responsible for building the pDB (predictive Database) platform that provides a database like abstraction to enable predictive queries and machine learning at scale. The pDB platform powers Celect's predictive analytic applications across the two main verticals at Celect: omni-channel retail and federal intelligence. Prior to Celect, Ritesh has led enterprise grade wireless networking products at Cisco, Accelera (now PlumeWifi), and Qualcomm. He has published extensively in optimization, machine learning, and wireless networking, and is a co-inventor on 65 patents. He holds a Ph.D. from Stanford and a BS from IIT Bombay, all in Electrical Engineering.

Find Ritesh Madan at

Talk : Machine Learning: Predicting Demand in Fashion

Other talks from track ML in Action


  • Deep Learning Applications & Practices

    Deep learning lessons using tooling such as Tensorflow & PyTorch, across domains like large-scale cloud-native apps and fintech, and tacking concerns around interpretability of ML models.

  • Predictive Data Pipelines & Architectures

    Best practices for building real-world data pipelines doing interesting things like predictions, recommender systems, fraud prevention, ranking systems, and more.

  • ML in Action

    Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud

  • Real-world Data Engineering

    Showcasing DataEng tech and highlighting the strengths of each in real-world applications.