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TEJAS MANJUNATH

writes the final thesis.

Student, MSc Business Intelligence and Data Science, International School of Management (ISM)

Fähigkeiten und Kenntnisse

Machine Learning
Management
Marketing Management
Mathematical Modeling
Microsoft Power BI
Monte Carlo Simulation
Neural Networks
Node.js
.NET Framework
Non-Fungible Tokens (NFTs)
Advanced Driver-Assistance Systems (ADAS)
Object-Oriented Programming (OOP)
Application Programming Interfaces (API)
Operating Systems
Artificial Intelligence (AI)
PostgreSQL
Automation
Automotive Safety
Programming
automotive simulation
Python (Programming Language)
Back-End Web Development
R (Programming Language)
Bash
React.js
Blockchain
REST APIs
Bootstrap (Framework)
Safety Assurance
Business Analytics
Safety Standards
Business Planning
Scenario Engineering
C (Programming Language)
Simulations
C#
Social Media Marketing
C++
Software Architecture
carla
Software Engineers
CARLA Simulation
SQL
Cascading Style Sheets (CSS)
Statistical Data Analysis
CHATGPT FOR DATA SCIENCE
Stock Market
Cloud Computing
System Architecture
Computer Science
Systems Architecture
Computer Simulations
Computer Vision
Tableau
Control Systems
Control Systems Design
TENSOR
Corporate Finance
TensorFlow
Cybersecurity
token contract development
Data Science
Web Design
Data Visualization
Web Development
Database Management System (DBMS)
Databases
Deep Learning
Digital Marketing
Embedded Software
Express.js
Front-End Web Development
Git
GitHub
Global Positioning Systems
Hardware Architecture
HTML
Intelligent Transportation Systems
Java
JavaScript
jQuery
Knime
Time Management
Advanced Driver-Assistance System (ADAS)
Automotive safety
Automotive performance
Research and Development
Business Intelligence
English Language
Validation
ML
Technology
Qualitative Research
Analytics
Teamwork in organisation
Leadership
MS Office

Werdegang

Berufserfahrung von TEJAS MANJUNATH

  • Current 6 months, since Jan 2026

    Independent Researcher — ADAS Safety Validation

    Independent Researcher

    Two-phase independent research project in ADAS safety validation and scenario engineering. Phase 1 — Crash Data Analysis - Analysed 1.54 million German crash records (Unfallatlas 2019–2024) using Python (pandas, geopandas, matplotlib) - Identified motorcycle lateral carriageway departure as highest-severity Euro NCAP coverage gap: 44.1% severe injury rate, 2.37× national average, zero AEB protocol coverage Phase 2 — Simulation & Publication - Built CARLA 0.9.16 physics simulation of 80 km/h highway lateral

Ausbildung von TEJAS MANJUNATH

  • Current 2 years and 1 month, Oct 2025 - Oct 2027

    M.sc Business Intelligence and Data Science

    International School of Management, Germany

  • Current 10 months, since Sep 2025

    MSc Business Intelligence and Data Science

    International School of Management (ISM)

  • 8 months, Nov 2024 - Jun 2025

    Global Business Management

    Golden Gate University

Sprachen

  • Kannada

    C2 (Verhandlungssicher / Muttersprachlich)

  • Hindi

    C1 (Fließend)

  • German

    A1-A2 (Grundkenntnisse)

  • English

    C1 (Fließend)

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