MEGHNA BISWAL

Major Project : Study on Globular Clusters (will shortly modify with actual title) at Indian Institute of Space Science and Technology (IIST)
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Contact Information
us****@****om
(386) 825-5501
Location
Thiruvananthapuram, Kerala, India, IN
Languages
  • English Full professional proficiency
  • Hindi Full professional proficiency
  • Gujarati Limited working proficiency
  • Oriya Limited working proficiency

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Credentials

  • Natural Language Processing
    NPTEL
    Oct, 2022
    - Sep, 2024
  • Brief Introduction to Psychology
    NPTEL
    Aug, 2022
    - Sep, 2024
  • An Introduction to Exoplanets
    The Open University
    Jun, 2021
    - Sep, 2024
  • Introduction to active galaxies
    The Open University
    Jun, 2021
    - Sep, 2024
  • An overview of active galaxies
    The Open University
    May, 2021
    - Sep, 2024
  • Comparing stars
    The Open University
    May, 2021
    - Sep, 2024
  • The Restless Universe
    The Open University
    Mar, 2021
    - Sep, 2024
  • Python Functions, Files, and Dictionaries
    University of Michigan
    Nov, 2020
    - Sep, 2024
  • From the Big Bang to Dark Energy
    The University of Tokyo
    Oct, 2020
    - Sep, 2024
  • Python Basics
    University of Michigan
    Oct, 2020
    - Sep, 2024
  • Programming for Everybody (Getting Started with Python)
    University of Michigan
    Aug, 2020
    - Sep, 2024
  • Moons of our Solar System
    The Open University
    Jul, 2020
    - Sep, 2024
  • Astrophysics: Cosmology
    The Australian National University
    Jun, 2020
    - Sep, 2024
  • Greatest Unsolved Mysteries of the Universe
    The Australian National University
    Jun, 2020
    - Sep, 2024
  • Advanced Course on Special Theory of Relativity by Prof. H C Verma.
    Indian Institute of Technology, Kanpur
    May, 2020
    - Sep, 2024
  • Astro 101: Black Holes
    University of Alberta
    May, 2020
    - Sep, 2024
  • Analyzing the Universe by Dr. Terry A. Matilsky
    Rutgers University
    Apr, 2020
    - Sep, 2024
  • Become a Good Matlab Programmer in 30 days
    Udemy
    Mar, 2020
    - Sep, 2024

Experience

  • Indian Institute of Space Science and Technology (IIST)
    • India
    • Higher Education
    • 1 - 100 Employee
    • Major Project : Study on Globular Clusters (will shortly modify with actual title)
      • May 2023 - Present

      Guide : Dr. Sarita Vig and Dr. Shabnam Iyyani Guide : Dr. Sarita Vig and Dr. Shabnam Iyyani

  • Indian Institute of Technology, Madras
    • India
    • Higher Education
    • 700 & Above Employee
    • Using Data Analytics for Enhanced Operational Efficiency and Customer Engagement in a Pizza Shop
      • May 2023 - Aug 2023

      I have done this project as a part of my Business Data Management Course at IIT-M.

    • Building a multi-user app for a Grocery Store
      • May 2023 - Aug 2023

      I built an app as a part of my Modern Application Development Course at IIT-M.

  • Indian Institute of Science Education and Research, Thiruvananthapuram
    • India
    • Research Services
    • 1 - 100 Employee
    • Minor Project : Signal Detection in Quark-Quark Collisions using Machine Learning with TMVA
      • Jan 2023 - Apr 2023

      Guide : Dr. Tanumoy Mandal The main objective of this project is to explore the application of machine learning techniques for signal detection. By harnessing the power of machine learning, we aim to enhance the accuracy and efficiency of signal detection methods. In this study, we present an approach for signal detection utilizing the Toolkit for Multivariate Data Analysis (TMVA) package. TMVA is a widely used machine learning tool in high-energy physics, offering a comprehensive suite of algorithms for classification, regression, and multivariate analysis. We delve into the various steps involved in the signal detection process, including data preprocessing, feature engineering, model selection, and evaluation. Specifically, our study focuses on detecting particle collisions and involves a direct comparison between a collision predicted by a new theoretical model and one that aligns with the standard model. By leveraging TMVA, we aim to provide valuable insights into the potential of machine learning for signal detection and its implications for advancing scientific research and practical applications in different domains. Show less

    • Determination of Upsilon(1s) Mass and Statistical Analysis of Dimuon Decay
      • Aug 2022 - Nov 2022

      Course Instructor : Dr. Shabnam Iyyani This project was done for the course PHY5132/6132 - Statistical and Data Analysis in Physical Sciences. The project involves analyzing data obtained from high-energy particle collisions, specifically focusing on events where Upsilon(1s) particles decay into dimuons. Dimuons are pairs of muons produced from the decay process, and their properties provide valuable information about the Upsilon(1s) particle. We employ statistical analysis methods to extract the mass of the Upsilon(1s) from the observed dimuon data. This includes fitting the dimuon invariant mass distribution using appropriate probability density functions and employing maximum likelihood estimation techniques. Additionally, systematic uncertainties arising from experimental factors are carefully accounted for and quantified. This project also involves comparing the determined mass of the Upsilon(1s) with existing theoretical predictions. This enables us to validate theoretical models and potentially discover any deviations that could lead to new physics insights. Show less

    • Machine Learning Project on Student's Enrolment Status
      • Aug 2022 - Sep 2022

      This project focuses on predicting the enrolment status of students in a university using a multi-class classification approach. It was hosted as a competition on Kaggle. This project focuses on predicting the enrolment status of students in a university using a multi-class classification approach. It was hosted as a competition on Kaggle.

  • IUCAA, Pune, India
    • India
    • Research Services
    • 100 - 200 Employee
    • Ultra Violet Imaging Telescope (UVIT) Data Analysis Workshop on AstroSat
      • Aug 2022 - Aug 2022

      Workshop Instructor : Dr. Kanak Saha Resource People : Dr. Chayan Mondal (IUCAA) , Mr. Suraj Dhiwar (Savitribai Phule Pune University) and Dr. Divya Pandey (ARIES) Workshop Instructor : Dr. Kanak Saha Resource People : Dr. Chayan Mondal (IUCAA) , Mr. Suraj Dhiwar (Savitribai Phule Pune University) and Dr. Divya Pandey (ARIES)

    • Workshop on Introduction to Network Biology
      • May 2022 - May 2022

      Workshop Instructor : Dr. Karthik Raman Workshop Instructor : Dr. Karthik Raman

  • Society for Space Education Research and Development (SSERD)
    • India
    • Education Administration Programs
    • 1 - 100 Employee
    • Effect of Proper motion on the shape of constellations over timescale of one million years
      • Jan 2022 - Mar 2022

      Guide : Mr. Sundar M.N. The project aims to study the effect of proper motion on the shapes of constellations over time. Proper motion refers to the apparent motion of stars across the celestial sphere due to their actual motion and the Earth's position and motion. It explores the various factors affecting proper motion, such as parallax, distance from the galactic center, influence of gravity, and more. The project uses data from the GAIA and HIPPARCOS space missions, which provide accurate measurements of the positions, proper motion, and other properties of stars. The data is analyzed using Python and libraries such as NumPy, Matplotlib, Basemap, Skyfield, and Astropy. To simulate the change in shape of constellations, the Azimuthal Equidistant map projection is used to convert the celestial sphere into a 2D surface. The RA and DEC values of stars are calculated for different years using their proper motion, and the stars are plotted in the Azimuthal Equidistant projection. Multiple images are created to show the change in shape of constellations over a period of 200,000 years. This project provides insights into the motion of stars and how it affects the appearance of constellations. It contributes to our understanding of the dynamics of the celestial sphere and the factors influencing the shapes of constellations. Show less

  • Indian Institute of Technology, Indore
    • India
    • Higher Education
    • 500 - 600 Employee
    • Summer Internship on HI-21 CM Cosmology with the help of Light Cones and Coevolving Plots
      • Mar 2021 - May 2021

      Guide : Dr. Abhirup Datta My work delves into the fascinating realm of cosmological studies through the utilization of light cones and coevolving plots in the analysis of the 21-cm HI line. By leveraging the finite speed of light, astronomers are able to observe distant objects and gain valuable insights into the evolution of the universe. Cosmic Microwave Background (CMB) observations and the 21-cm HI line play a crucial role in understanding the early stages of the universe's structure formation, including the enigmatic Cosmic Dawn and the Epoch of Reionization. It explores the theoretical modeling of the HI signal from the early universe, presents the mathematical expression for the differential brightness temperature, and discusses two distinct theoretical approaches. The utilization of the 21cmFAST tool to generate realistic light cones and coevolving plots is detailed, along with the analysis and visualization of the generated data using Python programming language and essential packages. My project concludes by highlighting the transformative potential of 21-cm observations in advancing our comprehension of the cosmic dawn and the epoch of reionization, shedding light on the cosmic dark ages and intergalactic matter properties. Show less

    • Reading Project on The Special Theory of Relativity
      • Nov 2019 - Dec 2019

      Guide : Dr. Bindusar Sahoo The reading project explores two fundamental approaches, geometric and algebraic, used in the Special Theory of Relativity. Geometric Approach: The geometric approach to Special Relativity is based on the concept of four-dimensional spacetime. It involves representing physical phenomena, such as events, particles, and fields, using mathematical objects in a four-dimensional spacetime framework. The key mathematical tool used in this approach is tensor calculus, which enables the formulation of equations that remain invariant under Lorentz transformations. Algebraic Approach: The algebraic approach to Special Relativity focuses on the mathematical formalism of relativistic equations using matrices and vectors. It involves expressing physical quantities, such as energy, momentum, and transformations, using algebraic equations and matrices. This approach relies on the Lorentz transformation matrix, which describes how physical quantities transform under relativistic effects like time dilation and length contraction. Show less

Education

  • Indian Institute of Science Education and Research, Thiruvananthapuram
    Master of Science - MS, Physics
    2023 - 2024
  • Indian Institute of Technology, Madras
    Diploma in Programming
    2023 - 2024
  • Indian Institute of Science Education and Research, Thiruvananthapuram
    Bachelor of Science - BS
    2019 - 2023
  • Indian Institute of Technology, Madras
    Diploma in Data-Science
    2022 - 2023
  • Indian Institute of Technology, Madras
    Foundation level in Programming and Data Science
    2021 - 2021
  • Divine Child High School, Surat
    Class 10 | Class 12

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