Tensorflow, Pyspark, Scala, Spark, Keras, Python, scikit-learn, MLlib, Machine Learning techniques

Machine Learning, Pyspark, Sql, Deep Learning, Tensorflow, Data Science, Nlp, MLops, Pytorch, Advanced Analytics, Big Data Technologies, Python, Computer Vision, Generative AI, LLMs, MLlib, Gradio, Ai, Scikit-Learn, Cloud-native Architectures, Agentic AI, semantic search, Streamlit

Github, Machine Learning, Tensorflow, Numpy, Pandas, Azure Functions, MLops, Pytorch, Docker, XGBoost, Databricks, Azure Machine Learning, Python, Kubernetes, Azure DevOps, scikit-learn, LightGBM, MLflow, Azure Container Apps, Azure Monitor, Application Insights

Statistical Analysis, Data mining, Clustering, Autoencoders, Machine Learning, Predictive Modelling, Dimensionality reduction, Ai, Linux experience, Outlier detection, Applied statistics, Semi-supervised methods

Logistic Regression, Decision Tree, Linear Regression, Svm, scrapy, Pca, Sql, Random Forest, Nosql, Neural Network, Pandas, Gcp, Numpy, Spark, Azure, Python, AWS, scikit-learn, K-mean Clustering, R, scapy, BERT

Machine Learning, Sql, Deep Learning, Azure ML, Nlp, Pytorch, Python, AWS, BGE, SimCSE, SFT, LLMs, E5, GraphRAG, semantic search, FAISS, LoRA, RAG, Transformers, Milvus, Weaviate, QLoRA, Knowledge Graphs

Predictive Modeling, Machine Learning, Power Bi, Hypothesis Testing, Tableau, Sql, Gcp, Data Visualization, Azure, Python, AWS, Forecasting, Feature Engineering, model validation, Statistics

Hypothesis Testing, Machine Learning, Performance evaluation, Generative AI, Model monitoring, Data Analysis, Prompt engineering, Autonomous workflows, Feature engineering, Statistical Modeling, Experimental Design, Model explainability, AI agents, Multi-agent systems

Sql, Nlp, Nltk, Pytorch, Gcp, MLops, Spark, Azure, Python, AWS, Scikit-learn, Airflow, Transformer-based models, GPT, BERT

campaign performance analysis , Python, Sql, Statistical testing, Experiment design