Siddharth Dixit

Experience

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  The Alan Turing Institute

  Aug 2019 - Aug 2019

  Visiting Researcher

  As a part of the 'Tackling Air pollution in Bristol City Center using AI' project organized by the Alan Turing Institute and the Bristol City Council, I worked on linking the meteorological data and the air pollution data to build forecasting models and generate insights which could be then acted upon by the Bristol City Council to reduce air pollution in the Bristol City Center.

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  Université du Luxembourg

  Feb 2020 - Mar 2020

  Research Intern

  - A part of the Legato Team of Prof. Stephane Bordas doing research on Physics Informed Deep Learning in the area of Biomechanics. - During my time there I studied about different Neural Network architectures used to solve and discover both Ordinary and Partial Differential Equations related to physics.

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  CausaLens

  Dec 2020 - Jun 2021

  Data Scientist (Intern)

  Interned as a Data Scientist in the Marketing team - focusing on Innovative Applications of Causal ML- Devised use-cases for applying Causal ML methodologies across various sectors, including Banking, Marketing, Insurance, Telecommunications, E-commerce & Retail, Manufacturing & IoT, Transport & Logistics, and more.- Executed proof-of-concept data science projects, including: 1) Developing Credit Risk Models for SME Lending2) Creating Predictive Lead Scoring Models for B2B Enterprises. Show less

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  University of Leeds

  Jul 2021 - Aug 2021

  Visiting Researcher

  As a member of a 9-person research team, I contributed to an initiative aimed at enhancing the operational efficiency of a Leeds-based Veterinary consultation company- VetAI. During this POC, we delivered a 40% more accurate forecasting model to strategically allocate veterinarians and nurses leading to lower customer wait times while ensuring optimal staffing levels.

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  Noodle.ai

  Dec 2021 - Jun 2024

  Data Scientist

  AI in Supply Chain:------------------------------------------Data Scientist in the Supply Chain AI (SCAI) unit. Worked with multiple Fortune-500 customers on Demand Forecasting projects.- Fortune-500 Beer Manufacturer: Delivered WMAPE lift of 13%- Major Lighting Corporation: Delivered WMAPE lift of 15%- Fortune-500 FMCG: Delivered WMAPE lift of 21%- Fortune-500 Food Processing Company: Improved weekend demand forecast accuracy by >20%AI in Manufacturing:------------------------------------------- Collaborated with a prominent steel manufacturer as a part of the Manufacturing Asset Health AI (AHAI) team to mitigate unplanned equipment downtime. Deployed time-series models, focusing on Time to Failure and Anomaly Detection, resulting in a reduction of equipment downtime across multiple assets. - Developed an innovative AutoML solution for Predictive Maintenance. This innovation enhanced the scalability and accuracy of Time-to-Failure and Anomaly Detection models, addressing various use-cases effectively. Show less

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  Thoucentric

  Jun 2024 - now

  Data Scientist