Machine Learning, Pyspark, Databricks, Sql, Python, Deep Learning, Cloud Systems, Large Data Sets, Ai, Data Platforms

Git, Machine Learning, Python, Sql, Agentic AI solutions

data engineering , ELT, Numpy, Pandas, Computer Vision, Python, Etl, data preprocessing, feature pipeline development, Generative AI, AWS Bedrock, scikit-learn, Hugging Face, data pipeline techniques, anomaly detection, Anthropic, Azure OpenAI, Google Vertex AI, image segmentation, open-source OCR models

data wrangling , Predictive Analytics, Data Modeling, Sql, Numpy, Pandas, Microsoft Excel, Python, scikit-learn, Generative AI tools, claims analytics, Data Handling

process mining , Deep Learning, Nlp, Spark, Databricks, Python, data pipelines, unsupervised ML, ML models, supervised ML

Azure Databricks, Tensorflow, Pytorch, MLops, Python, LangChain, LLM application development, reinforcement learning, CNNs, prompt engineering, LangGraph, enterprise AI security, RAG, NLP techniques, Vision Transformers, Transformer architectures

Hadoop, Natural Language Processing, Sql, Tensorflow, Pytorch, Gcp, MLops, Docker, Spark, Keras, Azure, Python, Kubernetes, AWS, LangChain, DSPy

causal inference , prophet , Sql, Tensorflow, Pytorch, MLops, Databricks, Python, Airflow, data pipelines, scikit-learn, PyMC, Stan, Bayesian modeling, R, dbt, Experimental Design, hierarchical models, feature engineering

matching , Sql, Statistical Modelling, Pyspark, BigQuery, Python, data quality checks, feature engineering, GenAI, reusable analytics datasets, orchestration frameworks, embeddings, agentic automation, enterprise ML data tooling, model scoring processes, retrieval augmented generation, anomaly detection, Optimization, vector databases, Regression, data pipelines, Classification, distributed compute, large-scale data processing, model evaluation, dbt, cloud data platforms, model monitoring, prompt engineering, Forecasting

Tensorflow, Pandas, Pytorch, Hadoop, Spark, Sql, Google Cloud, Python, AWS, Scikit-learn