Subhashree Panda

is looking for freelance projects. 🔎

Abschluss: Bachelor in Technology, Biju Patnaik University of Technology

Mittweida, Deutschland

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

  • 6 Monate, Juli 2020 - Dez. 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 Monate, 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 Jahre und 10 Monate, Dez. 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

  • 4 Jahre und 8 Monate, Okt. 2018 - Mai 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 Jahre und 11 Monate, Aug. 2007 - Juni 2011

    Computer Science

    Biju Patnaik University of Technology

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

Interessen

Katate Martial Arts
Photography
Travel
Reading
Gardening
Painting
Calligraphy

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