Dhruvi Panchal

Dhruvi panchal

bookmark on deepenrich
location of Dhruvi PanchalMehsana, Gujarat, India
Followers of Dhruvi Panchal2000 followers
  • Timeline

  • About me

    Data Scientist at NielsenIQ | Master's Degree in Data Science & Spatial Analytics, Symbiosis Pune

  • Education

    • M. g. science institute

      2019 - 2022
      B.sc statistics
    • Symbiosis institute of geoinformatics

      2022 - 2024
      Master of data science and spatial analysis data science

      Activities and Societies: Placement Committee Brochure Team

  • Experience

    • Krios info solutions pvt.ltd.

      Apr 2023 - Jun 2023
      Data analyst

      Conducted data visualization and analysis on Mahindra and Mahindra's data, leveraging tools such as Power BI. Developed interactive dashboards and visual representations to communicate insights effectively. Built machine learning models using real-time data, applying algorithms and techniques to generate predictive and actionable insights. Utilized Python and libraries such as scikit-learn, pandas, and NumPy to develop models for data-driven decision-making. Collaborated with cross-functional teams to gather data requirements, perform data cleaning and preprocessing, and ensure data accuracy and integrity for analysis purposes. Gained a comprehensive understanding of Mahindra and Mahindra's operations, processes, and data ecosystem. Collaborated closely with Mahindra and Mahindra teams to gather data requirements and align analytical outputs with the company's strategic objectives. Show less

    • Ohile technologies (p) ltd

      May 2023 - Nov 2023
      Machine learning engineer

      Completed a remote internship focused on audio classification using deep learning techniques, with a specific emphasis on heart and lung audio sounds. Successfully collected a diverse dataset of heart and lung audio recordings. Collected heart and lung audio recordings from various sources, ensuring data quality and diversity. Incorporated recordings from different individuals, capturing a range of heart and lung conditions and variations. Pre-processed the audio data by incorporating variations in playback speed to mimic real-world scenarios. Introduced controlled noise into the audio dataset to enhance the model's ability to handle real-world environmental factors. Applied noise augmentation techniques. Constructed a comprehensive audio dataset by carefully curating and organizing the collected recordings, playback speed variations, and noise additions. Ensured proper labelling and annotation for subsequent model training and evaluation. Developed and trained a deep learning model, utilizing frameworks such as TensorFlow and Keras. Employed simple neural network to capture and classify unique patterns within heart and lung audio data. Show less

    • Coding ninjas

      Apr 2024 - Jun 2024
      Data analytics intern
    • Nielseniq

      Aug 2024 - now
      Data scientist
  • Licenses & Certifications

    • Applying ai principles with google cloud

      Google cloud skills boost
      View certificate certificate
    • Attention mechanism

      Google cloud skills boost
      View certificate certificate
    • Neural networks and deep learning

      Coursera
      View certificate certificate
    • Business analytics bootcamp certificate

      Skill academy
      Apr 2023