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Dipannita Ghosh profile image

Dipannita Ghosh

Data Scientist at SAM Companies
Intro Book
Dipannita Ghosh, a seasoned data scientist and machine learning engineer with 7 years of experience, holds a PhD in Computer Science and Engineering from National Institute of Technology Durgapur, and a Bachelor of Engineering in Electronics and Communication Engineering from University Institute of Technology, The University of Burdwan.
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Fremont, California, United States, US
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Dipannita Ghosh is a seasoned data scientist and machine learning engineer with expertise in developing computer-aided solutions to various imaging problems. She holds a Doctor of Philosophy degree in Computer Science and Engineering from National Institute of Technology Durgapur, where she worked on super-resolution reconstruction and segmentation of B-mode ultrasound images. Her research focused on developing a machine-learning algorithm to precisely segment breast lesions from ultrasound images, achieving 99% segmentation accuracy. Ghosh has also worked as a Project Assistant Level-II at CSIR-CMERI– DURGAPUR, contributing to the development of a 4-axis motion controller for precision machining processes. Prior to that, she held a position as a Data Scientist/ML Engineer at SynergisticIT, where she worked on preprocessing structured and unstructured data, creating classifiers, and developing prediction algorithms. Currently, Ghosh resides in Fremont, California, USA, and is proficient in multiple languages, including English and Bengali.

Credentials

  • DevOps, DataOps, MLOps
    Duke University
    Mar, 2024
    - Apr, 2026
  • Deep Learning Essentials
    IBM
    Sep, 2022
    - Apr, 2026
  • [PCAP-31-03] PCAP – Certified Associate in Python Programming
    Python Institute
    Aug, 2022
    - Apr, 2026
  • Microsoft Certified: Azure AI Fundamentals
    Microsoft
    Sep, 2021
    - Apr, 2026
  • Microsoft Certified: Power BI Data Analyst Associate
    Microsoft
    Aug, 2023
    - Apr, 2026
  • Microsoft Certified: Azure AI Engineer Associate
    Microsoft
    Jan, 2022
    - Apr, 2026

Experience

  • SAM Companies
    • Data Scientist
      • Mar 2023 - May 2023

  • SynergisticIT
    • Data Scientist/ML Engineer
      • Dec 2021 - Mar 2023

      Preprocessing structured and unstructured data, cleansing and validating data for analysis, and analyzing large amounts of data to find patterns and solutions. Creating and optimizing classifiers using machine learning algorithms. Developing prediction and machine learning algorithms. Explaining results and proposing solutions to business problems.

  • National Institute of Technology Durgapur
    • West Bengal, India
    • PHD Researcher
      • Jan 2013 - Oct 2020
      • West Bengal, India

      Title: Super-resolution reconstruction and segmentation of B-mode ultrasound images. Objective: Developing computer-aided solutions to ultrasound imaging problems.► Application of convolution neural networks to perform image segmentation: Proposed a deep learning pipeline inspired by U-net and ResNet. ► Designed a feature extractor, performed data normalization and augmentation, ablation study and k-fold cross-validation.► Utilized Morphological operation and weighted mean filtering in the implementation of noise filtering for removing outliers. Compared results with non-local means, speckle reducing anisotropic diffusion.► Reconstructed high-resolution image data using multiple frames of low-resolution images, comparing final output with conventional super-resolution method and spatial compounding. ► Evaluated relevant literature and consolidated data (ultrasound image data) from various sources. ► Designed the practical solution for the challenges posed by ultrasound image data such as addressing noise reduction, image enhancement and segmentation. Key Contribution:★ Developed a machine-learning algorithm to precisely segment the breast lesions from ultrasound images.►This improved image quality and achieved 99% segmentation accuracy, which helped medical practitioners make accurate diagnoses and treat patients, thereby enhancing the quality of ultrasound images without increasing the system's cost.► This featured on various research papers on medical image processing and deep learning and was published in reputed journals and conferences.

  • CSIR-CMERI– DURGAPUR
    • West Bengal, India
    • Project Assistant Level-II
      • Oct 2016 - Mar 2018
      • West Bengal, India

      ► Brought on board to serve as project Assistant level-II under the project titled "Field deployment of indigenous 4 axis controller for the multi-purpose micro machine.". Key functions include: ★ Modelled controller for micromachining using Arduino software. ★ Designing PCB (Printed Circuit board) using EAGLE/ TINA software and other electronic circuits. ★ Contributed significantly to developing a 4-axis motion controller for contact-based precision machining processes. ★ Prepared highly accurate and detailed specifications, drawings, and assembly instructions for builds.★ Strengthened designs based on principles of electrical theory and new research.

Education

  • 2013 - 2020
    National Institute of Technology Durgapur
    Doctor of Philosophy - PhD, Computer science and engineering
  • 2007 - 2011
    University Institute of Technology, The University of Burdwan
    Bachelor of Engineering - BE, Electronics and Communication Engineering

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