Keshav Lodha

Project Manager at Aggie Sports Analytics
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Contact Information
Location
Davis, California, United States, US

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Credentials

  • The Complete 2023 Web Development Bootcamp
    Udemy
    Aug, 2023
    - Oct, 2024

Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Project Manager
      • Sep 2023 - Present
    • United States
    • Higher Education
    • 700 & Above Employee
    • Data Analysis and Management Assistant
      • Jul 2023 - Present
    • Finance Committee Member
      • Jun 2023 - Present

    • Officer
      • Apr 2023 - Jun 2023

    • India
    • Software Development
    • 1 - 100 Employee
    • AI & Deep Learning Intern
      • Jul 2023 - Sep 2023

      Developed deep neural networks using PyTorch, NumPy, and TensorFlow to analyze high-resolution biological images for early detection of cancer, resulting in a 90% increase in classification accuracy Enhanced image processing techniques for whole slide images by implementing segmentation models, leading to a 75% reduction in false positives Collaborated with a team of researchers to optimize training processes for deep learning models, resulting in a 50% decrease in training time… Show more Developed deep neural networks using PyTorch, NumPy, and TensorFlow to analyze high-resolution biological images for early detection of cancer, resulting in a 90% increase in classification accuracy Enhanced image processing techniques for whole slide images by implementing segmentation models, leading to a 75% reduction in false positives Collaborated with a team of researchers to optimize training processes for deep learning models, resulting in a 50% decrease in training time on the GPU (using CUDA) Show less Developed deep neural networks using PyTorch, NumPy, and TensorFlow to analyze high-resolution biological images for early detection of cancer, resulting in a 90% increase in classification accuracy Enhanced image processing techniques for whole slide images by implementing segmentation models, leading to a 75% reduction in false positives Collaborated with a team of researchers to optimize training processes for deep learning models, resulting in a 50% decrease in training time… Show more Developed deep neural networks using PyTorch, NumPy, and TensorFlow to analyze high-resolution biological images for early detection of cancer, resulting in a 90% increase in classification accuracy Enhanced image processing techniques for whole slide images by implementing segmentation models, leading to a 75% reduction in false positives Collaborated with a team of researchers to optimize training processes for deep learning models, resulting in a 50% decrease in training time on the GPU (using CUDA) Show less

    • United States
    • Education Management
    • 1 - 100 Employee
    • Peer Educator Intern
      • Nov 2022 - Jun 2023

      Facilitated interactive leadership workshops for a diverse group of 15 people, fostering a collaborative learning environment Conducted extensive research on leadership theories, models, and concepts to develop unique and impactful workshops Maintained a comprehensive database for student participation and feedback data for peer-to-peer workshops Facilitated interactive leadership workshops for a diverse group of 15 people, fostering a collaborative learning environment Conducted extensive research on leadership theories, models, and concepts to develop unique and impactful workshops Maintained a comprehensive database for student participation and feedback data for peer-to-peer workshops

    • United States
    • Education Administration Programs
    • 1 - 100 Employee
    • Technical Lead
      • Nov 2022 - Jan 2023
    • United States
    • Non-profit Organization Management
    • 1 - 100 Employee
    • General Member
      • Oct 2022 - Dec 2022

      Finalist in consulting-based Case Competition based on a prompt provided by PwC Proposed business model for final disposal of products for a hypothetical company, Swagon, to PwC judges Finalist in consulting-based Case Competition based on a prompt provided by PwC Proposed business model for final disposal of products for a hypothetical company, Swagon, to PwC judges

    • United Kingdom
    • Manufacturing
    • 700 & Above Employee
    • Data Analyst Intern
      • Jul 2022 - Aug 2022

      Monitored and optimized digital marketing campaigns for multiple brands under Unilever, resulting in a 15% increase in website traffic and a 10% increase in conversion rate Analyzed large datasets from DTC websites to identify key trends and insights on marketing channels, which led to a recommended shift in budget allocation resulting in a 20% decrease in cost per acquisition Performed consumer-site testing for the upcoming DTC website for Lakme, identifying usability issues and… Show more Monitored and optimized digital marketing campaigns for multiple brands under Unilever, resulting in a 15% increase in website traffic and a 10% increase in conversion rate Analyzed large datasets from DTC websites to identify key trends and insights on marketing channels, which led to a recommended shift in budget allocation resulting in a 20% decrease in cost per acquisition Performed consumer-site testing for the upcoming DTC website for Lakme, identifying usability issues and providing actionable recommendations that improved the user experience by 25% Show less Monitored and optimized digital marketing campaigns for multiple brands under Unilever, resulting in a 15% increase in website traffic and a 10% increase in conversion rate Analyzed large datasets from DTC websites to identify key trends and insights on marketing channels, which led to a recommended shift in budget allocation resulting in a 20% decrease in cost per acquisition Performed consumer-site testing for the upcoming DTC website for Lakme, identifying usability issues and… Show more Monitored and optimized digital marketing campaigns for multiple brands under Unilever, resulting in a 15% increase in website traffic and a 10% increase in conversion rate Analyzed large datasets from DTC websites to identify key trends and insights on marketing channels, which led to a recommended shift in budget allocation resulting in a 20% decrease in cost per acquisition Performed consumer-site testing for the upcoming DTC website for Lakme, identifying usability issues and providing actionable recommendations that improved the user experience by 25% Show less

Education

  • University of California, Davis
    Bachelor of Science - BS, Computer Science, Statistics
    2021 - 2025
  • R N Podar School
    High School Diploma, Mathematics and Computer Science
    2019 - 2021
  • Hiranandani Foundation School
    High School Diploma, Science
    2012 - 2019

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