probability , causal inference , Distributed Computing, Tensorflow, Pytorch, XGBoost, Data Visualization, Python, Machine Learning Algorithms, Machine Learning, Sql, MLops, Predictive Modeling, scikit-learn, technical review, real-world datasets, model evaluation, experimentation, Statistical Modeling, Experimental Design, AI evaluation, time-series analysis, Data Analysis, AI-generated analyses, data engineering workflows, cloud platforms, advanced statistical methods, model quality assessment, large-scale datasets, Statistics

Matplotlib, Machine Learning, Hadoop, Tableau, Scikit Learn, Sql, R Programming, Numpy, Pandas, Powerbi, Spark, Seaborn, Azure Machine Learning, Azure, Python, Ai, Statistics

causal inference , Hadoop, Pytorch, Spark, Python, Sql, multi-task learning, scikit-learn, sequential modeling, graph learning, reinforcement learning

Pyspark, Microsoft Azure, Python, Sql, R, Spark Ecosystems

Power Bi, Sql, Deep Learning, Git, Databricks, Python, Supervised and Unsupervised Learning, Agentic AI Frameworks, Optimization, Model Explainability, Azure AI Services, Copilot and Enterprise AI Platforms, Multi-Agent Systems, Time Series Forecasting, Ensemble Methods, Microsoft Fabric, MLFlow, Classification Regression Models, MLOps Tooling, Prompt Engineering, Large Language Models, RAG Architectures, AI Orchestration

Machine Learning, Nlp, Dashboards, Clustering, embeddings, Generative AI, cloud-based AI architectures, statistical models, visualisations, Forecasting, vector databases, anomaly detection, Classification, model evaluation, ML pipelines, data-driven solutions, Microsoft Copilot Studio, AI agent frameworks, hyperparameter tuning

Machine Learning, Deep Learning, Tensorflow, Data Science, Pytorch, Flask, FastAPI, Azure, Python, LangChain, generative AI, HuggingFace, Ai, RAGAS, Analytics, Streamlit

Hive, Machine Learning, SAS, Data Visualization, Big Data, Sql, Python, R