causal analysis , Hadoop, Cosmos, Sql, Data Science, Statistical Inference, Spark, Python, Generative AI, Forecasting, Analytics, R, Applied Statistics, experimentation, Responsible AI, Metric Design

graph databases , Data Manipulation, API design, Sql, Nosql, Typescript, Docker, Python, AWS, LangChain, vector databases, data lakes, Statistics, feature engineering, synthetic data generation

Sql, Tensorflow, Git, Pytorch, Docker, Kubernetes, Python, prompt evaluation methodologies, scikit-learn, LLM prompt engineering, CI CD workflows, MLflow, context engineering

Machine Learning, Predictive Modeling, Python, decision systems, generative AI

Hadoop, Arima, Spark, Python, Distributed Computing, Time Series Analysis, Data Visualization, Machine Learning, Big Data Technologies, Exponential Smoothing, R, Data Analysis

Tensorflow, Numpy, Git, Pandas, Pytorch, Gcp, Docker, Matplotlib, Azure, Kubernetes, Python, AWS, Airflow, scikit-learn, HuggingFace, MLflow, ML pipelines, Kubeflow

Pyspark, Machine Learning, Cicd, Databricks, Azure, Python, Time Series Forecasting, ADF pipelines, Demand Forecasting

Pyspark, Sql, Tensorflow, Deep Learning, Pytorch, Gcp, Powerbi, XGBoost, Keras, Azure, Python, ML Flow, AI Platform, Scikit-learn, Generative models, Vertex AI, AutoML

Machine Learning, Deep Learning, Data Science, Python, Generative AI, explainable AI, Forecasting, ML libraries, model evaluation, Statistical Modeling, time-series analysis, cloud-based ML platforms

causal inference , Machine Learning, Tensorflow, Pytorch, Spark, Python, Generative AI, Agentic AI frameworks, Scikit-learn, Time-series modeling, Distributed computing technologies, LangGraph, Statistical Modeling, Experimental Design