data engineering , Machine Learning, Tableau, Tensorflow, Numpy, Pytorch, Python, AWS, Time Series Analysis, Api Development, Sql, Git, Pandas, MLops, Gcp, Azure, Large Language Models, LangChain, Generative AI, LLMOps, Scikit-learn, Dataiku, LlamaIndex, ETL workflows

vehicle routing , Feature pipelines, Model deployment, heuristics, Network flow, Optimization methodologies, Optimization solvers, Model serving, Solver integration, Operations Research, Experimentation infrastructure, AI-native workflows

Data Cleansing, data structures, test strategy development, propensity models, AI ML modeling, performance validation, recommendation engines

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

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

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