Poojan Vadaliya

Experience

• 

  NextBits Group

  May 2021 - Jun 2021

  Web Development Summer Intern

  • Developed a dynamic web based Covid Test Management System.• Built a custom dashboard using HTML5, CSS3 and JavaScript.• Improved the performance of existing application by tuning the SQL scripts.• Technologies Used: HTML, CSS , JavaScript, PHP, MySQL

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  AVM COMPUTERS PVT LTD.

  May 2022 - Jun 2022

  Python Summer Intern

  Developed an Offer Letter Generator as per company requirements by leading a team of two which helps the company to automate the task of generating offer letters for incoming interns.

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  Devang Patel Institute of Advance Technology and Research

  Jun 2022 - Jul 2022

  Deep Learning Research Intern

  • Worked on Research paper published in "4th International Conference on Inventive Research in Computing Applications (ICIRCA 2022)"• Implemented multiple augmentation techniques on a custom-built dataset.• Worked on multiple Convolutional Neural Networks to implement transfer learning where CNN includes - VGG16,XceptionNet, InceptionV3, Efficientnet and many more• Trained multiple Convolutional Neural Networks using a transfer learning approach on a bespoken dataset.• Analyzed and compared the result of the best-performing model to find the most accurate and precise model.• Fine-tuned CNN model to optimize the model for gaining more precise output. Show less

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  KrishiMandir

  Jan 2023 - Jun 2023

  Software Development Trainee

  • Designed and implemented a chat flow guidance system to streamline WhatsApp conversations, achieving a 40% reduction in time consumption.• Developed an algorithm in Clojure using XTDB to identify crop diseases by matching data stored in AWS S3, enhancing database efficiency.• Assisted in the design and development of AI-driven crop health applications to provide real-time insights to users.

• 

  University of Guelph

  Jan 2024 - now

  • Implemented Bayesian Neural Networks for complex genotype-phenotype modeling using high-dimensional genomic data.• Conducted feature selection and dimensionality reduction using Chi-square and ANOVA tests to enhance model efficiency.• Integrated traditional statistical methods with deep learning models to improve SNP detection accuracy.• Optimized computational workflows, reducing preprocessing time by up to 80% through efficient data filtering techniques.• Analyzed and interpreted genomic data, contributing to research publications and detailed reports on model performance. Show less

  • Graduate Student

    Sept 2023 - now

  • Graduate Research Assistant

    May 2024 - Aug 2024

  • Teaching Assistant

    Jan 2024 - May 2024