Machine Learning, Sql, Gcp, MLops, Docker, Azure, Python, Kubernetes, AWS, MLflow, Statistics, R, LLM Generative AI

Machine Learning, Api Development, Pyspark, Python, Data Manipulation, Cloud platforms, Ai, Deployment pipelines, MLOps tools and frameworks, Feature engineering, Model evaluation

Sql, Python, Git, Machine Learning, R, Jupyter Notebooks, Microsoft Office Suite

data wrangling , probability , Matplotlib, Power Bi, Big Data Technologies, Tableau, Sql, Tensorflow, Numpy, Pytorch, MLops, Pandas, Python, Machine Learning Algorithms, Scikit-learn, cloud platforms, AI systems, data visualization tools, Statistics, feature engineering

Python Programming, Data Analysis, Jupyter notebooks, data science methodologies

graph databases , Gitlab, Python, embeddings, hybrid ML workflows, knowledge graphs, LLMs, traditional ML, feature extraction, ML libraries, ontologies

3d math , Java, Machine Learning, Scala, Computer Vision, Docker, Agile Development, Kubernetes, Python, point clouds, learning algorithms, Ai, Graphics, geometry

Natural Language Processing, AWS, Python, Scipy, Numpy, Machine Learning, Transfer Learning, Jupyter

Pytorch, Tensorflow, AWS, Python, Azure, Gcp, XGBoost, survival models, GPT, scikit-learn, Llama, SCADA systems, Cmms, anomaly detection, Qwen, Dcs, Generative AI, sensor logs, time-series analysis

Rpa, Power Bi, Advanced Analytics, Databricks, Python, GitHub Copilot, Copilot 365, Ai