
Tech Leader Creating Value-Driven AI Solutions
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Mercedes Benz AG
Data Scientist
June 29, 2026 – Present
hdm_jt072_RL
January 16, 2026 – Present
Application of Proximal Policy Optimization on 2D Game Environments
View Projectneural_networks_project_hdm
November 22, 2025 – Present
Timeseries Forecasting Project using different Neural Networks architectures
View ProjectAdvancedDatavisualisationAgent
June 28, 2025 – September 12, 2025
A sophisticated Streamlit application that enables users to interact with their SQLite database using natural language querie
View Projectllm_inference_api
March 15, 2025 – March 15, 2025
LLM Inference API using Ollama and FastAPI
View Projectstock_forecast_ai_agent
November 19, 2024 – November 23, 2024
This is a small app to test the AI Agents functionallity for forecasting purposes. Mainly focusing on function calling.
View Projecttensortrader-system
July 1, 2023 – March 22, 2025
Python package to train ML based models for automated trading strategy on cryptocurrencies. Using Python Binance API.
View ProjectTimeseries_Wavelet
November 11, 2022 – December 22, 2022
Financial Timeseries Forecasting using Wavelet as Features with multiple ML Algorithms
View ProjectML_dev_container
November 11, 2022 – August 6, 2023
Machine Learning Devcontainer for working with Jupyter Notebooks interactively in VsCode
View ProjectCultural Fit Analysis
The candidate demonstrates a strong passion for data science and machine learning through numerous personal projects, many of which are self-initiated and complex. The focus on financial applications and AI agents aligns well with innovative and data-driven environments. However, the lack of diverse team projects or professional experience beyond a single current role limits the assessment of broader cultural fit and collaboration within a larger organization.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving approaches, or communication style in a team setting.