tokenization , Machine Learning, Natural Language Processing, SAS, Data Modeling, Sql, Deep Learning, Pandas, Hive, Numpy, Spark, Python, NLP based n-grams methodology, Data Analysis, AI techniques, statistical models, fuzzy matching, Sanctions Screening, phonetics, name-matching, similarity scoring, R

Java, Tensorflow, Machine Learning, Pytorch, Hadoop, Spark, Keras, Python

Power Bi, Natural Language Processing, Tableau, Sql, Deep Learning, Tensorflow, Git, Pytorch, Spark, Databricks, Azure, Python, AWS, data pipeline development, scikit-learn, machine learning frameworks, DevOps practices, R, ETL processes

Machine Learning, Neural Networks, Sql, Tensorflow, Numpy, Pandas, Pytorch, Time Series Analysis, Python, scikit-learn, Probabilistic Forecasting, Gradient Boosting, Tree-based Models, Statistical Modeling, statsmodels

Node.js, Tensorflow, Typescript, Javascript, Pytorch, Docker, Kubernetes, Python, CrewAI, Generative AI, scikit-learn, Agent-to-Agent A2A protocols, Hugging Face Transformers, Model Context Protocol MCP, OpenAPI standards, AutoGen, LangGraph, NLP techniques, LLM technologies

data science principles, data science research

Deep Learning, Sql, AWS Athena, Python, Docker, Hadoop, Kafka, Machine Learning, Spark, Redshift, Flink

Machine Learning, Pyspark, Databricks, Python, Sql, AWS

Machine Learning, Pyspark, Sql, Deep Learning, Tensorflow, Pytorch, XGBoost, Databricks, Python, AWS, Scikit-learn, GSQL, Graph Analytics