Ml, Deep Learning, MLops, Databricks, Mathematical Optimization, Generative AI, Azure ML Studio, Ai, Synapse, Kusto, Azure AI, Simulation, Fabric

data engineering , Spotfire, Machine Learning, Power Bi, Tableau, Sql, MLops, Databricks, Predictive Analytics, Python, Generative AI, Ai, semantic search, Statistical Modeling

data preparation , snowflake , Unix, Random Forest, Neural Networks, Shell scripting, Python, Boosting and bagging methods, Ensemble models, ML libraries, Regression, Advanced ML techniques, Feature engineering, GBM, supervised learning, Distributed data systems, ML pipelines

record linkage , PostgreSQL, Deduplication, Sql, Numpy, Pandas, XGBoost, Python, phonetic encoding, classification models, scikit-learn, string similarity algorithms, edit distance, entity resolution, sequence matching, feature engineering, shingling

record linkage , PostgreSQL, Deduplication, Sql, Numpy, Pandas, XGBoost, Python, phonetic encoding, classification models, scikit-learn, string similarity algorithms, edit distance, entity resolution, sequence matching, feature engineering, shingling

Golang, Machine Learning, Spark, Databricks, Python, AWS, Microservices, Langchain, OpenAI Agent SDK, MLFlow, Distributed Data Processing

Hadoop, Apache Spark, Deep Learning, Gcp, Data Visualization, Azure, Python, AWS, LLMs, GenAI models, ensemble methods, R, advanced machine learning techniques

Power Bi, Tableau, Regression Analysis, Sql, Python, iri, Generative AI, Statistical modeling techniques, Pricing analytics, Time-series modeling, nielsen, Bayesian modeling, R, CRM

Cloud Technology, Deep Learning, Python, Machine Learning, Azure cloud platform, OCR technology, R, algorithmic problem solving