Machine Learning, Time Series, Deep Learning, Tensorflow, Numpy, Nlp, Pandas, Pytorch, Gcp, MLops, Azure, Python, Statistical Analysis, AWS, scikit-learn, generative AI, Vision capability streams, cloud-based AI services, R, Agentic AI, large language models

Python, Sql, Tensorflow, Pytorch, R

snowflake , Tableau, Numpy, Excel, Python, BigQuery, Scipy, Power Bi, Redshift, Sql, Git, Pandas, Spark, Databricks, Airflow, scikit-learn, Mixpanel, R, Mode, Amplitude, Looker, dbt, Jupyter, statsmodels

Machine Learning, Hypothesis Testing, Sql, Tensorflow, Pytorch, Python, AWS, LangChain, MLflow, Scikit-Learn, SageMaker, OpenAI APIs, Kubeflow, Statistical Modeling, Jupyter

Machine Learning, Sql, Deep Learning, Tensorflow, Pytorch, Keras, Python, LangChain, Scikit-learn, AI Models, Cloud-based development environments, Ollama, ETL processes, Large language models, Amazon Bedrock

Sql, Python, SHAP, explainability methods, regularized regression, supervised machine-learning, gradient boosting, tree-based models, feature engineering, statistical methods, reason-code generation, model documentation

S3, Tensorflow, Lambda, Pytorch, Ec2, Docker, Flask, Python, AWS, Gcp, Opencv, Compute Engine, FastAPI, Keras, MLflow, Cloud Run, Vertex AI, Nvidia Deepstream, Colmap, Weights Biases, Rekognition, EKS, SageMaker, DVC, ECR, Vision API, Google Cloud Storage

Github, Pandas, Docker, Python, data analysis techniques, forecasting algorithms, machine learning models

Pyspark, Tableau, Python, Sql, AWS, Data Analysis, Data pipeline development