Machine Learning, Tensorflow, Pytorch, Keras, Python, AWS, Generative AI, TensorFlow Serving, Hugging Face, Vector Databases, Embedding models, Spacy

probability , Sql, Pytorch, Python, Tensorflow, scikit-learn, advanced mathematical concepts, Statistical Modeling, financial regulations

probability , Tensorflow, Numpy, Nlp, Pytorch, Real-Time, Python, AWS, Apis, Batch, Clustering, Sql, Deep Learning, Pandas, Gcp, Time Series, Azure, end-to-end ML models, Training, large datasets, model evaluation, Classification, Deployment, Validation, data preprocessing, Data Analysis, ML algorithms, Cloud platforms, Scikit-learn, Statistics, Regression, Recommendation Systems, feature engineering, tuning techniques, ML model deployment

Databricks, Python, responsible AI, model evaluation, model explainability, fairness, Privacy, ML frameworks, feature engineering

Matplotlib, Amazon Web Services, Google Cloud Platform, Power Bi, Pyspark, Tableau, Tensorflow, Pytorch, Seaborn, Microsoft Azure, Databricks, Keras, Python, MLflow, GitHub Copilot, Dask, Amazon CodeWhisperer

data preparation , Scipy, Sql, Data Visualization, Numpy, Pandas, Python, Predictive Modelling, Git, experimentation, Automation workflows, Scikit-learn, AI-driven analytics, Feature engineering, Statsmodels, Reporting platforms

model development , Machine Learning, Deep Learning, Tensorflow, Pytorch, Python, Bias Detection, GANs, Transfer Learning, Documentation, Diffusion Models, Model Training, Data Collection, VAEs, Performance Evaluation, Data Augmentation, Synthetic Data Generation, Normalizing Flows, Model Optimisation

snowflake , Matplotlib, Power Bi, Scala, Tableau, Sql, Tensorflow, Nlp, Pytorch, Azure, Python, AWS, Computer Vision, scikit-learn, Azure ML Services, R