Adarsh Raj
MSc student in AI and Data Science with hands-on experience in Python, ML pipeline development, anomaly detection, and data analysis. Skilled in feature engineering, signal processing, and end-to-end data pipelines.
About Me
I am a passionate MSc student in AI and Data Science at Hochschule Furtwangen, with a strong foundation in machine learning, data analysis, and software development. My journey in data science has equipped me with hands-on experience in building end-to-end ML pipelines, developing anomaly detection systems, and working with modern AI technologies including LLMs and RAG implementations.
With professional experience as a Software Developer at Cognizant and as a Student Assistant at Hochschule Furtwangen, I have developed expertise in Python-based data processing workflows, ETL pipelines, and creating reproducible analytical dashboards. My work spans from traditional machine learning to cutting-edge generative AI applications.
I am particularly interested in solving complex data problems, building scalable ML systems, and leveraging AI to create impactful solutions. My technical skills are complemented by strong problem-solving abilities and effective communication in both English and German.
Technical Expertise
- • Python, MATLAB, SQL, C++, Bash
- • Supervised/Unsupervised ML, Anomaly Detection
- • Neural Networks, Feature Extraction
- • LLMs, RAG, Prompt Engineering
Tools & Frameworks
- • Pandas, NumPy, Matplotlib, Seaborn, Plotly
- • HuggingFace, LangChain
- • MLFlow, Docker, CI/CD
- • PowerBI, SQL Databases
Skills
Programming Languages
Machine Learning & AI
AI/NLP
Tools & Frameworks
Languages
Soft Skills
Experience
Student Assistant
- •Data analysis, structured reporting, KPI tracking, cross-team collaboration.
- •Implemented reproducible workflows and dashboards for project tracking.
Software Developer
- •Developed Python workflows for data preprocessing, ETL pipelines, and dashboards.
- •Worked with SQL databases, ensured data consistency, and provided insights.
React Native Developer (Freelance)
- •Developed AI-powered features for data processing and backend integration.
- •Ensured structured data handling and reproducible workflows.
Education
MSc, AI and Data Science for Digital Business
B.Tech in Computer Science
Projects
Anomaly Detection for Sensor and Test Bench Data
Independent Study
Built ML experiments for anomaly detection in time-series/sensor data. Simulated signal characteristics and evaluated ML models for fault identification.
Furtwangen University Chatbot - RAG Implementation
Generative AI Project
Designed full AI pipeline with data processing, embedding generation, retrieval. Analytics and structured testing for robust evaluation.
Automated Text Processing Pipeline
NLP & Data Analysis
Developed pipelines for data cleaning, feature extraction, and exploratory analysis. Dashboard-style analytics for automated evaluations.
Vehicle Speed Detection using YOLO
Computer Vision Project
Created performance dashboards summarizing detection accuracy and model evaluation using YOLO for vehicle speed detection.
Get In Touch
Let's Connect
I'm always open to discussing new opportunities, interesting projects, or just having a chat about AI and Data Science.