Pranav Choudhary

Bis 2026, Master Thesis Student, German Aerospace Center (DLR)

Fähigkeiten und Kenntnisse

Agile Methodologies
Angular
Amazon Web Services (AWS)
AngularJS
Applied Mathematics
Core Java
Artificial Intelligence (AI)
Big Data
Creative Problem Solving
Cybersecurity
Cascading Style Sheets (CSS)
DevOps
Data Analysis
Cloud Computing
Digital Image Processing
Data Pipelines
Collaborative Robotics
Django
Computational Mathematics
Data Processing
Computer Vision
Mathematical Modeling
Front-End Development
Data Science
Git
MongoDB
Data Visualization
MySQL
Mathematical Programming
HTML
Data Warehousing
Node.js
Microservices
Deep Learning
HTML5
Microsoft Azure
JavaScript
NumPy
Python (Programming Language)
Microsoft Excel
Linux
R (Programming Language)
Object-Oriented Programming (OOP)
Microsoft Office
Machine Learning
Representational State Transfer (REST)
Microsoft Power BI
Panda3D
REST APIs
Microsoft PowerPoint
Pandas
Robot Programming
Plotly
Microsoft Word
TensorFlow
Robotics
Power Electronics
MLOps
Seaborn
Predictive Modeling
Software Development
Spring Framework
Team Leadership
Kubernetes
Neural Networks
Strategic Planning
OOP
3D printing
Telemetry
dynamic
Analytical skills
Frontend
Research and Development
Computer Science
SQL
Application
Backend
Docker
Computer
Technology
Engineering

Werdegang

Berufserfahrung von Pranav Choudhary

  • 10 Monate, Sep. 2025 - Juni 2026

    Master Thesis Student

    German Aerospace Center (DLR)

    Conducted trajectory optimization for a 6-DOF robot, enhancing its performance in additive manufacturing. Developed feature-engineered gradient-boosted trees and neural networks by extracting relevant data from various robot inputs. Collaborated with a multidisciplinary team at the German Aerospace Center (DLR) in Stuttgart, focusing on innovative robotics solutions.

  • 5 Monate, Dez. 2022 - Apr. 2023

    Research Assistant

    Fraunhofer IGD

    Utilized Python to visualize ROV telemetry data for precise maneuvering during missions. Processed and optimized ROV mission data using Pandas to enable seamless analysis. Researched and evaluated cutting-edge frameworks (such as Panda3D, and Holoocean) for 3D data visualization in Python.

  • 5 Monate, Aug. 2022 - Dez. 2022

    Data Scientist

    Zummit Germany

    Designed and implemented an object detection pipeline using advanced computer vision techniques. Explored pre-trained CNN models like YOLO and Faster R-CNN to identify and classify objects in images and video streams. Preprocessed datasets with OpenCV to ensure data quality and augment images for improved model robustness.

  • 1 Jahr und 1 Monat, März 2021 - März 2022

    Senior Software Developer

    Pegasus InfoCorp

    Evaluated analytical model findings within the Universal Lending System, the Client's flagship product, ensuring alignment with business objectives and regulatory requirements. Applied machine learning techniques to analyze customer data of up to 8 banks, contributing to the development of an advanced credit scoring model. Significantly improved the accuracy of credit risk assessment, resulting in well-informed loan approval decisions and a 30% reduction in default rates. Upgraded 7 Banking projects from

  • 1 Jahr und 10 Monate, Apr. 2019 - Jan. 2021

    System Engineer

    Infosys Ltd

    Developed dynamic user interfaces with Angular to enhance user experience. Implemented scalable server-side logic in Java for efficient back-end operations. Managed databases to optimize data processes for seamless application functionality. Collaborated in an Agile environment (SCRUM) for efficient and iterative development cycles. Using the CI/CD pipeline, deployed code in various environments and automated several tasks using the DevOps methodology. I configured the Git to be suitable for easy code de

  • 5 Monate, Nov. 2018 - März 2019

    System Engineer trainee

    Infosys Ltd

    Trained in Java, Spring, HTML5, CSS3, Angular, Python, object-oriented programming, and SQL at Infosys Mysore. Built and honed skills in software development and database management. Collaborated in teams to develop innovative solutions and enhance technical proficiency.

Ausbildung von Pranav Choudhary

  • 2022 - 2026

    Master's degree

    Universität Rostock

    Bridging advanced numerical mathematics with data engineering and machine learning to optimize complex systems and processes. Defended Master's Thesis on "Feature Engineering to Optimize the 6-DOF Trajectories for Robotic Additive Manufacturing" (Grade: 1.2), directly applying data-driven optimiza

  • 2014 - 2018

    Bachelor of Engineering

    SIES Graduate School Of Technology

Sprachen

  • Englisch

    C2 (Verhandlungssicher / Muttersprachlich)

  • Deutsch

    B1-B2 (Gute Kenntnisse)

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