Advanced Analytics & Machine Learning Expertise
Need a freelance data scientist in Geneva? I specialize in building predictive models, implementing machine learning solutions, and extracting insights from complex datasets. With expertise in Python, R, TensorFlow, and modern ML frameworks, I help businesses leverage data science for competitive advantage.
PhD-level expertise in machine learning and statistics
Experience with cutting-edge ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Proven track record with 10K+ MAU applications
Expertise in NLP, computer vision, and recommendation systems
End-to-end project delivery from data collection to deployment
Cloud-native solutions (AWS, Azure, GCP)
Strong communication skills - explain complex concepts simply
Fast prototyping and iterative development
Geneva-based with flexible working arrangements
Build models to forecast sales, customer churn, demand, and other business metrics. Use advanced statistical methods and machine learning for accurate predictions.
Develop NLP solutions for sentiment analysis, text classification, chatbots, document processing, and language understanding using transformer models.
Create image recognition, object detection, and visual search systems. Experience with CNNs, YOLO, and modern vision transformers.
Design personalized recommendation engines for e-commerce, content platforms, and services. Collaborative filtering and deep learning approaches.
Analyze temporal data for forecasting, anomaly detection, and trend identification. ARIMA, LSTM, and modern forecasting techniques.
Deploy ML models to production with proper monitoring, versioning, and CI/CD pipelines. Docker, Kubernetes, and cloud services.
I combine deep technical expertise with strong business acumen. I've built production systems serving 30K+ users and understand what it takes to deliver real business value, not just academic exercises. My projects are deployed, monitored, and actively used.
Primary stack: Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch), R for statistical analysis, SQL for data manipulation, and modern cloud platforms (AWS, Azure, GCP). I also work with MLflow, Docker, Kubernetes for deployment.
I follow rigorous validation procedures including cross-validation, holdout testing, and A/B testing in production. I implement comprehensive monitoring to track model performance over time and detect drift.
Yes! I have experience integrating with various data systems including SQL databases, data lakes, data warehouses (Snowflake, BigQuery), and streaming platforms (Kafka). I adapt to your existing tech stack.
I prioritize interpretable models when possible and use techniques like SHAP values, LIME, and feature importance analysis for complex models. Transparency is crucial for stakeholder buy-in.
Absolutely! Knowledge transfer is part of every engagement. I provide documentation, workshops, and hands-on training to ensure your team can maintain and improve the solutions I deliver.