Data Analyst / AI ML Engineer

Location
Germany
Desired Salary
Unspecified
Work preference
Full Time, Contract, Internship, Temporary, Volunteer
Joined
5 Dec 2025
Field / Industry
Creative & Design
Status: Actively looking
Relocation: No
Notice Period: Immediate

This user has not passed any tests yet

English - German -

About Me

I am a quirky data analyst and AI ML engineer with demonstrated experience at Merck KGaA in Darmstadt and a master's degree in Applied Data Science and Analytics from SRH University. I am adept at working on platforms like Palantir Foundry and Azure DevOps, collaborating across cross-functional teams to develop robust real-time solutions. I have a strong desire to continuously learn and share my skills with others. My expertise includes integrating AI models with vector databases to enable efficient semantic searches, real-time insights, and interactive data visualizations. I have implemented multi-agent chatbots and developed AI-driven applications that comply with GDPR regulations. I am proficient in various programming languages and tools such as Python, SQL, JavaScript, and frameworks like FastAPI, PyTorch, and TensorFlow. I have experience in training and deploying text-to-speech models with emotional control capabilities and have contributed to projects involving large-scale text processing and AI agent development. I am passionate about leveraging AI and data science to drive actionable insights and improve decision-making processes. I am currently based in Germany and am open to full-time opportunities where I can apply my skills and grow professionally.

Skills

PythonSQLData AnalysisJavaScriptDockerAzureCI CDMachine LearningSoftware DevelopmentGCPAgileDevOpsKafkaA B TestingTensorFlowAzure DevOpsBig DataAmazon Web Services (AWS)HTML CSS

Education

SRH Hochschule Heidelberg
01/10/2023 - 30/09/2025

Master's Degree in Applied Data Science and Analytics

Software and applications development and analysis

Experience

Gen AI Intern @ Merck KGaA
04/2025 - 08/2025

Developed and maintained FastAPI endpoints integrating MyGPT (LLM) with Qdrant and SQL Function for semantic searches and real-time insights. Implemented metadata-driven SQL queries via Azure DevOps pipelines, reducing manual query effort by 40%. Streamlined data retrieval processes, accelerating retrieval time by 30%. Presented actionable data insights and visualizations to stakeholders. Implemented Palantir AIP multi-agent chatbot with dynamic filtering over dashboards.

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