26.11.2025 aktualisiert
100 % verfügbar
Machine Learning & Data Science Specialist | Detection Systems & Automation
Weiterstadt, Deutschland
Weltweit
MSc in Management of Protected AreasÜber mich
AI-focused Data Scientist with experience in anomaly detection, predictive models, computer vision and NLP. I deliver optimized, reliable ML solutions that transform data into practical, scalable results.
Skills
GeoinformationssystemKünstliche IntelligenzComputer VisionComputerprogrammierungDatenbankenDatenvisualisierungPythonMachine LearningForschungsmethodenNatural Language ProcessingNltkNumpyObjekterkennungOpencvPredictive ModellingQgisPower BiTensorflowRäumliche AnalyseGeodateninfrastrukturenSQLTableauPytorchTransfer LearningLarge Language ModelsDeep LearningKerasGitlabGitPandasMatplotlibContainerisierungScikit-learnPlotlySoftware Version ControlErkennung von AnomalienDocker
Computer Vision
Expertise in image classification, object detection, and anomaly detection using frameworks like OpenCV, U-2-Net, YOLO, and Detectron2.
Machine Learning & Deep Learning
Advanced knowledge in PyTorch, TensorFlow, Keras, CNNs, and Transfer Learning for predictive modeling and classification tasks.
Natural Language Processing
Application of NLP techniques to extract insights from survey data using tools like NLTK, LLMs, and Word2Vec.
Data Visualization
Proficiency in creating interactive dashboards and visualizations using Seaborn, Matplotlib, Plotly, Power BI, Streamlit, and Tableau.
Programming & Tools
Strong Python skills with libraries including Pandas, NumPy, Scikit-learn, along with version control using Git and GitLab.
SQL & Docker
Familiar with database querying using SQL and containerization with Docker for deployment.
GIS & Spatial Analysis
Experience with QGIS and GeoPandas for geographical information systems and spatial data analysis.
Expertise in image classification, object detection, and anomaly detection using frameworks like OpenCV, U-2-Net, YOLO, and Detectron2.
Machine Learning & Deep Learning
Advanced knowledge in PyTorch, TensorFlow, Keras, CNNs, and Transfer Learning for predictive modeling and classification tasks.
Natural Language Processing
Application of NLP techniques to extract insights from survey data using tools like NLTK, LLMs, and Word2Vec.
Data Visualization
Proficiency in creating interactive dashboards and visualizations using Seaborn, Matplotlib, Plotly, Power BI, Streamlit, and Tableau.
Programming & Tools
Strong Python skills with libraries including Pandas, NumPy, Scikit-learn, along with version control using Git and GitLab.
SQL & Docker
Familiar with database querying using SQL and containerization with Docker for deployment.
GIS & Spatial Analysis
Experience with QGIS and GeoPandas for geographical information systems and spatial data analysis.
Sprachen
DeutschGrundkenntnisseEnglischverhandlungssicherPortugiesischMutterspracheSpanischgut
Projekthistorie
Supporting the development and optimization of computer vision models to classify textile defects and enable automated sorting in production. Assisting in analyzing inspection pipelines and contributing to improvements that simplify processes and enhance model performance.
Developed an anomaly detection model for plastic parts using unsupervised deep learning (96% accuracy). Deployed a Streamlit app for automated defect visualization and inspection. Enhanced model robustness via preprocessing and synthetic defect generation.
Built predictive models and automated dashboards to support strategic business decisions. Applied NLP to extract insights from open-ended survey data. Performed customer segmentation and forecasting using regression and clustering methods.