Samantha Kisachi

Data science intern at OESON
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Contact Information
us****@****om
(386) 825-5501
Location
Rome, New York, United States, US

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Experience

    • India
    • IT Services and IT Consulting
    • 100 - 200 Employee
    • Data science intern
      • Mar 2023 - Present

      Building machine learning models in python using libraries NumPy and ScikitLearn Learning prediction models using binary classification like linear regression, Logistic regression etc. Building and training a neural network with tensor flow to perform multiclass image classification Applying best practice for model generalization Building and use tree methods including boosted trees Deploying machine learning models on cloud. Building machine learning models in python using libraries NumPy and ScikitLearn Learning prediction models using binary classification like linear regression, Logistic regression etc. Building and training a neural network with tensor flow to perform multiclass image classification Applying best practice for model generalization Building and use tree methods including boosted trees Deploying machine learning models on cloud.

    • United States
    • Aviation and Aerospace Component Manufacturing
    • 700 & Above Employee
    • NASA L’SPACE Mission Concept Academy
      • Sep 2022 - Dec 2022

      Participated in a team to produce a preliminary document review at the end of the program. My team and I produced a 123 page document detailing the launcher that will assist NASA with the detection and redirection of Near Earth Objects (NEOs). We designed our lander to be able to analyze and determine the composition, density, and mass of a NEO, the scientific information collected will be used to enhance the appropriate planetary protection strategy. Participated in a team to produce a preliminary document review at the end of the program. My team and I produced a 123 page document detailing the launcher that will assist NASA with the detection and redirection of Near Earth Objects (NEOs). We designed our lander to be able to analyze and determine the composition, density, and mass of a NEO, the scientific information collected will be used to enhance the appropriate planetary protection strategy.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Mulitmessanger Astrophysics undergraduate researcher
      • May 2022 - Jul 2022

      Research topic: Visualization of black hole mergers. Used virtual box and Jupyter notebook to simulate a star orbiting a binary black hole. This was done by using the Newtonian and post Newtonian calculations. Research topic: Visualization of black hole mergers. Used virtual box and Jupyter notebook to simulate a star orbiting a binary black hole. This was done by using the Newtonian and post Newtonian calculations.

    • United States
    • Higher Education
    • 300 - 400 Employee
    • Mathematics Peer Tutor
      • Sep 2021 - May 2022

      Tutored high level calculus, statistics,general chemistry 1and 2 and any math based problems in other sciences. Tutored high level calculus, statistics,general chemistry 1and 2 and any math based problems in other sciences.

Education

  • Stony Brook University
    Bachelor of Science - BS, Mathematics and astronomy
    2022 - 2024
  • Mohawk Valley Community College
    Associate of Arts and Sciences - AAS, Mathematics
    2021 - 2022

Community

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