Power Bi, Tableau, Python, Sql, Optimization frameworks, Regression, Looker, Time-series forecasting

Machine Learning, Natural Language Processing, Git, Pytorch, Docker, Flask, FastAPI, Python, Hugging Face Transformers, VS Code, Jupyter Notebook, Vector Databases, Large Language Models

simulations , Machine Learning, Pyspark, Hypothesis Testing, Svm, Random Forest, Sql, Tensorflow, Pandas, Statistical Inference, Pytorch, XGBoost, Python, Tree-based Algorithms, Scikit-learn, Optimization, MLP

graph databases , Random Forest, Nlp, Pytorch, Docker, XGBoost, Keras, Azure, Kubernetes, Python, LangChain, Generative AI, Llm, Vector Databases

Matplotlib, Machine Learning, Apis, Data Extraction, Data Visualization, Python, AWS, software engineering best practices, Data Analysis, Signal Processing, cloud-based solutions, R Shiny, R, Relational Databases

Data Science, AI initiatives, analytical capabilities, mentorship, ethical AI standards, intelligent process automation, Ai, best practices governance, technical guidance, customer experience management

Large Language Models (LLMs), Matplotlib, Machine Learning, Deep Learning, Tensorflow, Numpy, Pandas, Pytorch, MLops, Python, AWS, Generative AI, RNNs, Hugging Face Transformers, Scikit-learn, CNNs, CI/CD pipelines, GPU-accelerated computing, Transformers

causal inference , Machine Learning, Sql, Deep Learning, Tensorflow, Azure ML, Numpy, Pandas, MLops, Pytorch, Spark, Data Visualization, Python, Weights Biases, scikit-learn, Databricks ML, MLflow, Statistics, Amazon SageMaker, Google Vertex AI, Experimental Design

Machine Learning, Git, Python development, Docker, AI programming, DevOps concepts and processes

Ml, BigQuery, Sql, Deep Learning, Databricks, Azure, Python, AWS, GNNs, statistical AI, dbt, graph-native models, Athena, custom graph algorithms