Data Management, Machine Learning, graph-enabled agent interactions, LLM applications, knowledge graphs, data acquisition, production-quality code, AI systems, semantic retrieval, graph data science

Machine Learning, SAS, Sql, Data Science, Matlab, Python, Generative AI, LLM-based Solutions, anomaly detection, R, Statistical Modeling, Data Analysis

Github, Tableau, Sql, Decision Trees, advanced Excel, Statistical Modelling, Clustering, Python, Storyboarding, customer analytics, project management, Forecasting, a/b testing, Classification, Azure ML Model Deployment, R, probability models, Regression, Segmentation, churn modelling

graph databases , Tensorflow, Nlp, Pytorch, MLops, Neo4j, Keras, Azure, Python, AWS, embeddings, LLMs, knowledge graphs, LLMOps, Scikit-learn, vector databases, DGL, prompt engineering, RAG, semantic search

Machine Learning, Deep Learning, Tensorflow, Numpy, Git, Pytorch, Pandas, Opencv, Image Processing, Keras, Predictive Analytics, Python, Computer Vision, Transfer Learning, Scikit-learn, Convolutional Neural Networks, Quantization, Model Optimization, Jupyter Notebook, Edge AI Deployment, anomaly detection, Time-series Analysis

data preparation , snowflake , Machine Learning, Performance Monitoring, Deep Learning, Gcp, MLops, Statistical Modelling, Databricks, Azure, AWS, PEFT, automated training pipelines, Dataiku, LoRA, LLM implementation, feature engineering, Deployment

Machine Learning, Hypothesis Testing, Data Modeling, Numpy, Pandas, Data Science, Python, Statistical Analysis, Scikit-learn, large datasets, Analytics, Statistics, Quantitative Research, quantitative problem-solving

Java, Machine Learning, Hadoop, SAS, Cosmos, MATLAB, Decision Trees, Logistic Regression, CloudML, R, Statistical Modeling, Bayesian analysis

Databricks, Azure, Sql, Python, AWS, Deep Learning, graph algorithms, Statistical AI