Naman Awasthi

Graduate Research Assistant at University of Maryland - College of Computer, Mathematical, and Natural Sciences
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Contact Information
us****@****om
(386) 825-5501
Location
College Park, Maryland, United States, US
Languages
  • English -
  • Hindi -
  • Marathi Professional working proficiency

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Credentials

  • Algorithms on Graphs
    Coursera Course Certificates
    Jun, 2016
    - Nov, 2024
  • Machine Learning: Classification
    Coursera Course Certificates
    Jun, 2016
    - Nov, 2024
  • Machine Learning: Regression
    Coursera Course Certificates
    Apr, 2016
    - Nov, 2024
  • Machine Learning Foundations: A Case Study Approach
    Coursera Course Certificates
    Feb, 2016
    - Nov, 2024
  • Programming for Everybody (Getting Started with Python)
    Coursera Course Certificates
    Jan, 2016
    - Nov, 2024
  • Using python to access web data
    Coursera
    Feb, 2016
    - Nov, 2024
  • Python Data Structures
    Coursera
    Jan, 2016
    - Nov, 2024

Experience

  • University of Maryland – College of Computer, Mathematical, and Natural Sciences
    • United States
    • Higher Education
    • 1 - 100 Employee
    • Graduate Research Assistant
      • Aug 2020 - Present

      NSF Grant for working on creation of novel methods and approaches for the development of a privacy-respectful toolkit to identify and characterize the multi-factorial challenges that low-income residents in Baltimore City endure when using public transit NSF Grant for working on creation of novel methods and approaches for the development of a privacy-respectful toolkit to identify and characterize the multi-factorial challenges that low-income residents in Baltimore City endure when using public transit

  • Meta
    • United States
    • Software Development
    • 700 & Above Employee
    • Research Intern
      • May 2022 - Aug 2022

      Worked on understanding climate attitudes of people using on-platform behaviour and engagement Worked on understanding climate attitudes of people using on-platform behaviour and engagement

  • University of Maryland
    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Teaching Assistant
      • Aug 2019 - Dec 2020

      TA for the courses CMSC 131, 132 Object Oriented Programming I, II and CMSC 828I Advanced Techniques in Visual Learning & Recognition. TA for the courses CMSC 131, 132 Object Oriented Programming I, II and CMSC 828I Advanced Techniques in Visual Learning & Recognition.

  • Surest
    • United States
    • Insurance
    • 200 - 300 Employee
    • Data Science Intern
      • Jun 2020 - Aug 2020

      1. Created word embeddings and sentence embeddings (diagnosis and procedure embeddings) for claims data. 2. Embeddings used in forecasting consumer actions. 1. Created word embeddings and sentence embeddings (diagnosis and procedure embeddings) for claims data. 2. Embeddings used in forecasting consumer actions.

  • REDX WeSchool
    • India
    • Research Services
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Jul 2017 - Jun 2019

      I worked on implementing deep learning code for three projects and led the development of two projects AgriVulture and Urvolution. AgriVulture(2018-2019): Collecting temporal multispectral data, and modeling deep learning/ computer vision tools to track the growth of crops in India from 2000-2017. Developed 3D CNN models for temporal modeling of farmlands in India Urvolution(2017-2018): Understanding the growth of urban infrastructure from 2000-2016 using high resolution satellite images. Collected and cleaned the satellite data for 5 major cities in India and trained a semantic segmentation CNN model Legal Document Summarizer: Using historic judicial documents to create summaries of new judicial proceedings in an automated way. Developed tokenization tools using regex, Part of speech tagging and baseline summary forming algorithm Show less

  • Welingkar Institute of Management
    • India
    • Education Administration Programs
    • 400 - 500 Employee
    • Visiting Lecturer
      • Sep 2018 - Apr 2019

      Department: Research and Business Analytics Subjects: Python Programming IV Instructing the second year batch of 57 MBA students on advanced topics in Python for data science. Topics covered: Machine learning pipeline definition, Ensembles, hyper-parameter optimization, Overfitting and Cross-validation. Key Responsibilities: Course content curation, course delivery, assignment evaluation. Department: Research and Business Analytics Subjects: Python Programming I Instructing the first year batch of 60 MBA students in Python for data science. Topics covered: data cleaning, preprocessing, visualisation and machine learning models in Python. Show less

  • Dr. V.K. Dhar
    • Intern
      • Oct 2016 - Dec 2016

      I worked under the guidance of Dr. V.K. Dhar and understood the utility and working of Energy based deep learning models. I also developed the implementation of Deep Boltzmann Machines and several functional wrappers for the model in MATLAB. I worked under the guidance of Dr. V.K. Dhar and understood the utility and working of Energy based deep learning models. I also developed the implementation of Deep Boltzmann Machines and several functional wrappers for the model in MATLAB.

Education

  • University of Maryland
    Doctor of Philosophy - PhD, Computer Science
    2021 - 2024
  • University of Maryland
    Master of Science - MS, Computer Science
    2019 - 2021
  • Thadomal Shahani Engineering College
    Bachelor of Engineering (BE), Compiuter Science and Engineering
    2013 - 2017

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