Neha Dohare

Internship Trainee

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San Francisco, California, United States

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Timeline
About me
AI Applications Engineer @ SandBox Semiconductor | Computer Science
Education
- University of Pennsylvania
  2021 - 2023
  Master's degree Computer and Information Science 3.96
  Coursework:Machine Learning, Computer Vision and Computational Photography, Theory of Computation
- Maharaja Surajmal Institute Of Technology
  2016 - 2020
  Bachelor of Technology Information Technology CGPA- 9.6, University rank 1
  Activities and Societies: Relevant Coursework - Data Structures, Discrete Mathematics, Applied Mathematics, Database Management Systems, Object Oriented Programming, Algorithms Design and Analysis, Java Programming, Software Engineering, Artificial Intelligence, Operating Systems, Soft Computing, Active part of the music society and fest organization committee
- Udacity
  2020 - 2021
  Nanodegree, Machine Learning Engineer with Microsoft Azure Machine Learning
  Was 1 of the 300 applicants selected for this Scholarship. As part of the Scholarship, worked on 3 projects- - Optimize an ML Pipeline in Microsoft Azure- Operationalising Machine Learning in Azure- Capstone Project (Building a Heart Failure Prediction Model using Azure ML)
Experience
- Centre for Railway Information Systems
  May 2018 - Jul 2018
  Internship Trainee
  - Project Intern for the development of an Android application, Sahayam which would be used for handling incidents. - Sahayam provides a directory with contact information of people (doctors, NGOs, etc) who could be contacted in case of an emergency. It also provides users the functionality to raise/ respond to appeals for donations.
- Defence Research and Development Organisation (DRDO)
  May 2019 - Jul 2019
  Trainee
  Worked with the Defence Terrain Research Laboratory (DTRL) in the field of Deep Learning/ Computer Vision.
- Ectosense
  Jan 2020 - Jun 2021
  Data Science Consultant
  Worked on development and optimization of a snore detection algorithm using Machine Learning and Computer Vision (Mel Spectrograms). As part of the internship, I had to work on data cleaning, feature selection, algorithm development and optimization with the Data Science team at Ectosense.
- University of Pennsylvania
  Aug 2021 - May 2023
  Worked as a Research Assistant at the Rehabilitation Robotics Lab associated with the GRASP Lab and Penn Medicine. I worked on the Panda project and my responsibilities included pose estimation from infant videos to identify infants at risk for neuromotor diseases like cerebral palsy. Graduate Teaching Assistant for CIS 5810- Computer Vision and Computational Photography under Prof. Jianbo Shi. Graduate Teaching Assistant for CIS 515- Fundamentals of Linear Algebra and Optimization under Prof. Jean Gallier. Graduate Teaching Assistant for CIS 556- Cryptography under Prof. Tal Rabin.
  - Graduate Research Assistant
    May 2022 - May 2023
  - Graduate Teaching Assistant
    May 2022 - Dec 2022
  - Graduate Teaching Assistant
    Jan 2022 - May 2022
  - Graduate Teaching Assistant
    Aug 2021 - Dec 2021
- SandBox Semiconductor
  Jun 2023 - now
  AI Applications Engineer
Licenses & Certifications
- Machine Learning: Regression
  Coursera
  Aug 2019
  View certificate
- Machine Learning Foundations: A Case Study Approach
  Coursera
  Mar 2019
  View certificate
- Machine Learning for Microsoft Azure Scholarship Challenge
  Udacity
  Jul 2020
Honors & Awards
- Awarded to Neha Dohare
  University Topper at IP University Guru Gobind Singh Indraprastha University Aug 2020 Was awarded Gold Medal for getting the first rank in the university examination in the BTech (IT) batch for the session 2016-2020.