Algorithms, Hive, Software Development, Natural Language Processing, Python

Performance Tuning, Hadoop, Azure Functions, Scala, Apache Spark, Sql, Nosql, Hive, Azure Data Factory, Databricks, Cosmos DB, Hbase, Python, data marts, Big Data Frameworks, Cloud platforms, Real-time and batch data processing, data quality validation, Synapse, data lakes, Eventhub, Optimization, Medallion architecture

Sql, Numpy, Seaborn, Git, Pandas, Gcp, Opencv, Matplotlib, Databricks, Python, AWS, AutoGluon, scikit-learn, Mosaic ML, MLflow, H2O.ai, YOLO, Azure services, AutoML

Sql, Regression Analysis, Python, Time-series modeling, R, Bayesian modeling, Pricing analytics, Statistical modeling techniques, Generative AI

Gcp, XGBoost, Databricks, Python, Sql, AWS, Scikit-learn, MLFlow

Kafka, Spring Boot, Tensorflow, Nlp, Pytorch, Docker, Python, Hadoop, Sql, Big Data Technologies, Django, Azure ML, Hive, MLops, Spark, FastAPI, Rest Apis, Kubernetes, Computer Vision, scikit-learn, Hugging Face, CI CD, CNNs, web backend integration, GCP AI Platform, Vision Transformers, Generative AI, LLMs, cloud platforms, AWS SageMaker, Transformers, RAG, ML frameworks

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

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