Requirements Analysis, Predictive Modeling, Programming, Data mining, SQL query language, Python-based ML frameworks, Statistical Modeling, AI ML development, Cloud-based implementation

Java, Docker, Scala, Python, Data

Machine Learning, Power Bi, Pyspark, Python, Sql, Time-Series Analytics

Machine Learning, Sql, Tensorflow, Azure ML, Nlp, Pytorch, MLops, Docker, FastAPI, Keras, Azure, Python, Generative AI, LLMs, scikit-learn, MLflow, Retrieval-Augmented Generation, Kubeflow

Pandas, Numpy, Linux, Sklearn, Keras, Azure, Python

snowflake , causal inference , Sql, Pandas, Spark, Databricks, Python, scikit-learn, applied data science, Experimental Design, Statistical Modeling, statsmodels, survey stats

Nlp, Machine Learning, Opencv, Keras, Predictive Analytics, Python, Tensorflow, Cv

Machine Learning, Sql, Autoencoders, XGBoost, Databricks, Azure, Python, LangChain, CrewAI, Generative AI, LLMs, anomaly detection techniques, cloud platforms, vector databases, prompt engineering, AutoGen, LangGraph, Isolation Forest, RAG, AI LLM frameworks

Agile Development, Machine Learning, Big Data Technologies, Python, Deep Learning, Generative AI

Logging, Docker, Flask, Python, AWS, Sql, Azure ML, Gcp, MLops, Spark, FastAPI, Azure, Kubernetes, vector search, embeddings, Airflow, versioning, data pipelines, MLflow, Azure OpenAI, GitHub Actions, NLP pipelines, model monitoring, RAG architectures, Weights Biases, Transformers, LLMs, ML algorithms, SageMaker, CI CD pipelines, Statistics, OpenAI, evaluation metrics