Uddeshya Srivastava

Angestellt, Studentische Hilfskraft, TU Braunschweig - Institut für Werkzeugmaschinen und Fertigungstechnik

Braunschweig, Deutschland

Über mich

Passionate and result-oriented Engineer pursuing a master's in Computational Science Engineering at TU Braunschweig. Interest in Machine Learning and Data Science. Experience in friction optimization in various segments of engines ranging from motorbikes to heavy-duty commercial engines and passenger car engines. Developed a forte in analyzing and bench-marking the results on a scatter band containing data of similar engines. My work also includes testing Electric Motor and Valve lift measurements. Skill sets: FEM, Machine Learning with Neural Networks, Augmented Reality (Unity). Programming languages: Matlab, C++, Java, Python. German Proficiency- C1 🔹I am a self-motivator, a continuous learner, ambitious, always seeking growth and development opportunities, and adore a challenge.

Fähigkeiten und Kenntnisse

Software Development
Java
Database
CSS
Mechanical Engineering
Python
Machine Learning
Deep Learning
Engineering
Team work
Communication skills
Django
Unity
C#
Plotly dash

Werdegang

Berufserfahrung von Uddeshya Srivastava

  • Bis heute 2 Jahre und 8 Monate, seit Nov. 2021

    Studentische Hilfskraft

    TU Braunschweig - Institut für Werkzeugmaschinen und Fertigungstechnik

    Anomaly detection for predictive maintenance with AI in Industry 4.0 - Access to data from PostgreSQL and conversion in a Pandas data frame by executing queries in tables. - Data cleaning and visualization. - Splitting the data for different sensors and storage of data in SQLite. - Creation and deployment of a Data application with Plotly-Dash. - Connecting the Python backend code with Unity via Flask for visualization with augmented reality. - Running the application on a cloud server with Docker

  • 2 Jahre und 2 Monate, Juli 2018 - Aug. 2020

    Graduate Engineer

    FEV Group GmbH

    Friction testing of petrol engines according to the Strip method - Analysis and comparison of the results on a scatter plot (with uni-plot) with data of of similar engines and provision of recommendations for customers. - Direct and active contact with customers in Europe and Asia to better meet their needs and needs and build strong relationships.

Ausbildung von Uddeshya Srivastava

  • Bis heute 3 Jahre und 9 Monate, seit Okt. 2020

    Computational Sciences in Engineering

    Technische Universität Braunschweig

    Specialization in Data Science and Machine Learning

  • 3 Jahre und 11 Monate, Juli 2014 - Mai 2018

    Mechanical Engineering

    VIT University

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Gut

  • Hindi

    Muttersprache

Interessen

Music
Cycling
Sports
Photography

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