Pyspark, SAS, Tensorflow, Pytorch, Decision Trees, Arima, Spss, Keras, Python, KubeFlow, support vector machines, exponential smoothing, Great Expectations, Z-Test, R, T-Test, MXNet, Evidently AI, CNTK, ARIMAX, Sci-Kit Learn, BentoML

causal inference , Machine Learning, Nlp, Computer Vision, MLops, automation, GenAI, agentic AI, Forecasting, anomaly detection, enterprise AI governance, Optimization, graph intelligence, observability

metaheuristics , Pyspark, Sql, Deep Learning, Python, Column Generation, LP, MILP, heuristics, AI Coding Agents, CPLEX, Decomposition, Pyomo, OR-Tools, Pulp, constraint programming, Network Flows, HiGHS, CP-SAT, Operations Research, Simulation, Gurobi

graph databases , Sparql, Machine Learning, Sql, Deep Learning, Gcp, Azure, Python, AWS, embeddings, GQL, Knowledge Representation, vector databases, semantic retrieval, Cypher, Statistical Modeling, RAG pipelines, SAP HANA Cloud

data engineering , Data Warehousing, Kafka, Docker, Python, AWS, Apache Spark, Sql, Gcp, Rest Apis, Azure, Kubernetes, RAG frameworks, Qdrant, vector databases, MLflow, Pinecone, Kubeflow, Cloud MLOps, ETL pipelines, LangChain, Generative AI, LLMs, Clean code practices, prompt engineering, LLM fine-tuning, microservices architecture, Milvus, LlamaIndex

Sql, Databricks, Python, vector search, AI Foundry, tool calling, deployment on Azure, Azure OpenAI, CI CD, Agents, RAG, Microsoft Fabric

Java, Machine Learning, Pyspark, Sql, Tensorflow, Git, Pytorch, Python, Computer Vision, probability theory, MLflow, Statistical Modeling, linear algebra