Subhashree Panda

is looking for freelance projects. 🔎

Abschluss: Master in Science, Hochschule Mittweida
Mittweida, Germany

Fähigkeiten und Kenntnisse

Machine Learning
Artificial intelligence
Natural Language Processing (NLP)
Python
C#.NET
Neural Networks
Graph theory
Reliability
Cryptography
Pattern recognition
reinforcement learning
Data Science
Software Development
Deep learning
Information technology
Computer Science
English Language
Mathematics
ML
Code
Applied Mathematics
Neuro-linguistic programming
Agile Development
Data Analysis
Git
Computer
SQL
Application
Technology
Engineering
Software
Microsoft Excel
Artificial neural networks
Graph Theory
graph neural network
recurrent neural network
LSTM
Reinforcement learning
Python NumPy
Python pandas
PyTorch
python

Werdegang

Berufserfahrung von Subhashree Panda

  • 11 months, Nov 2023 - Sep 2024

    Research Assistant

    Hochschule Mittweida
  • 6 months, Jul 2020 - Dec 2020

    Intern

    BMW Group

    Application development for analysis of simulation data for crash testing and passive safety using Python programming, Data analysis (Mainly graphical data) for improvement of existing features for user safety.

  • 6 months, Sep 2019 - Feb 2020

    Working Student

    Hochschule Mittweida

    I was working as student assistant, where I was guiding for the lectures taken by professor for the subject Advanced Graph Theory and Networking, to the 1st semester master's student.

  • 6 years and 10 months, Dec 2011 - Sep 2018

    Software Engineer

    Infosys Limited

    I was responsible for developing, testing and supporting C# .NET web applications. I was trained and worked many of the assignments based on C#, sql, HTML, XML, and Visual Studio. My role contained mainly resolving application defects, testing and debugging to produce the required product.

Ausbildung von Subhashree Panda

  • Current 2 years and 1 month, since Jun 2024

    PhD in Machine Learning

    Hochschule Mittweida, University of Applied Sciences

  • 4 years and 8 months, Oct 2018 - May 2023

    Applied mathematics

    Hochschule Mittweida

    Advanced Graph Theory & Networking & Reliability Machine Learning, Deep Learning &Reinforcement Learning containing classification techniques such as RNN, GNN, LVQs, SVM and clustering using SOM and Neural Gas. Simulation and visualization using Markov Chain Cryptography and Cryptanalysis

  • 3 years and 11 months, Aug 2007 - Jun 2011

    Computer Science

    Biju Patnaik University of Technology

Sprachen

  • English

    C1 (Fließend)

  • German

    A1-A2 (Grundkenntnisse)

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