Sonali Chawla

Experience

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  AnalytixLabs

  Aug 2015 - Dec 2015

  Trainee Analyst/Intern
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  Freelance

  Jun 2017 - Jun 2018

  Data Scientist
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  Dunnhumby

  Apr 2018 - now

  - Designed and developed a scalable, schedulable codebase using Airflow for Spark modelling pipelines, resulting in a 50% increase in processing efficiency and a 30% reduction in errors during production execution.- Implemented separate reliability pipelines with robust exception handling, comprehensive logging, and unit test cases in Git, resulting in 40% reduction in system downtime and improved stability and quality control.- Streamlined and optimized processed and data structures, resulting in an improvement in overall hyperparameter tuning and Spark code optimization.- Performed code review and documentation to ensure adherence to coding standards and best practices, reducing errors, and enhancing maintainability.- Collaborated with cross-functional teams to gather requirements and translate them into scalable software solutions, resulting in successful project delivery with tight deadlines.- Lead a team of engineers in ML projects, fostering innovation, collaboration and delivering successful outcomes. Show less - Developed customer segmentation models and created targeted marketing campaigns for customer engagement, catering to giant retail clients and suppliers.- Implemented Python-based machine learning models within the Spark framework, utilizing libraries such as scikit-learn, NumPy, and Pandas.- Implemented hyperparameter tuning techniques resulting in a 20% increase in model accuracy and performance.- Conducted thorough model evaluation, including performance metrics, A/B testing, and rigorous optimization, resulting in a 15% increase in campaign conversation rates.- Communicated complex technical concepts and findings to stakeholders in a clear and concise manner. Show less - Developed and executed objective-led communication campaigns aligned with clients' strategic objectives, enhancing customer engagement.- Designed comprehensive engagement plans for new and existing customers, optimizing their experiences, and increasing store format adoption.- Collaborated with stakeholders to define business objectives, developed value-added reporting, and provided ad-hoc data analysis.- Collaborated with data engineering team to consolidate customers' past contact points into a unified repository.- Contributed to the design of a Power BI dashboard tracking the performance of customer groups, stores, and trading regions on a year-on-year (YOY) basis. Show less

  • Lead Engineer (ML)

    Dec 2023 - now

  • Senior Engineer (ML)

    May 2021 - Nov 2023

  • Senior Applied Data Scientist

    Jun 2019 - May 2021

  • Applied Data Scientist

    Apr 2018 - May 2019
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  WOMANIUM

  Jul 2023 - Sept 2023

  Global Quantum Computing Program Scholar
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  WOMANIUM

  Jun 2024 - Aug 2024

  Global Quantum + Artificial Intelligence Program 2024 Scholar