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Machine Learning Expertise

With an MSc in Data Science and 6+ years of industry experience, I specialize in building advanced machine learning systems that solve real-world problems. From fine-tuning advanced prediction models to implementing cutting-edge 3D CNNs for geological modeling, I combine theoretical rigor with practical deployment expertise.

My focus is on creating models that are not only accurate but also interpretable, maintainable, and production-ready. I approach each project with attention to rigorous evaluation, hyperparameter optimization, and understanding the business impact.

What I Offer

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Predictive Classification Systems

Built production-grade classification models with advanced feature engineering and model interpretability. Achieved significant performance improvements through rigorous evaluation and hyperparameter optimization.

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Computer Vision & Deep Learning

Designed and implemented deep learning architectures including CNNs and advanced neural networks for image analysis and pattern recognition tasks at scale.

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Anomaly Detection & Monitoring

Developed production-grade anomaly detection systems with real-time monitoring, automated alerting, and containerized REST APIs for continuous data quality assurance.

Technical Stack

Deep Learning Frameworks

  • TensorFlow
  • PyTorch
  • Keras
  • JAX

Deep Learning Architectures

  • CNNs (2D & 3D)
  • RNNs & LSTMs
  • Transformer Architectures
  • Ensemble Methods

ML Libraries & Tools

  • Scikit-Learn
  • XGBoost
  • Pandas
  • NumPy
  • Scikit-Image

Model Evaluation & Interpretability

  • SHAP Values
  • Cross-validation
  • Hyperparameter Tuning (Optuna)
  • Attention Visualization

Professional Background

Expertise & Specialization

Specialized in building advanced machine learning systems across scientific and healthcare domains with 6+ years of industry experience. Expert in designing and deploying production-grade models that combine theoretical rigor with practical scalability, delivering measurable business impact through data-driven solutions.

Key Achievements

• Achieved significant performance improvements through advanced feature engineering and fine-tuning techniques in predictive modeling

• Designed and deployed custom 3D CNN architectures for complex geological analysis and modeling at scale

• Built anomaly detection systems with real-time monitoring and automated alerting that ensure data quality and system reliability for mission-critical operations

Machine Learning Demo

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