Machine Learning, Power Bi, Pyspark, Azure Databricks, Python, Azure DevOps, Generative AI, Power Apps, Optimization Techniques, Statistics

Machine Learning, Python, Sql, Deep Learning frameworks, Model Registries, Statistical Models, Feature Stores, Gradient Boosting

Matplotlib, Hadoop, Power Bi, Tableau, Sql, Tensorflow, Gcp, Pytorch, Spark, Azure, Python, AWS, Scikit-learn, R

Machine Learning, Software Development, Google Cloud Platform, Sql, Cloud solutions, Python, Data Analysis

Drift detection (e.g. Evidently), PostgreSQL, Sql, Numpy, Pandas, Docker, XGBoost, Python, scikit-learn, LightGBM, CatBoost, Hyperparameter optimisation, SHAP, AWS-hosted infrastructure, Automated retraining pipelines, Feature engineering, Model evaluation

simulations , text classification , MLops, Version Control, Sentiment Analysis, Testing, Nltk, Python, Docker, Summarization, Apis, Nlp, prediction, LLMs, operations research techniques, optimization heuristics, scikit-learn, text similarity, Hugging Face, model deployment, NER, agentic workflows, Optimization, topic modeling, feature extraction, text preprocessing, entity extraction, Classification, intent detection, traditional machine learning, spaCy

Tensorflow, Sql, Github, Aws Lambda, MLops, Azure Functions, AWS, Pytorch, Kubernetes, Python, Docker, Gcp, Git, Scikit-learn, GCP Functions, Dataform