Nlp, Unsupervised Learning, Sql, Python, Model lifecycle management, supervised learning, AI ML techniques, Risk Scorecard, Optimization, Propensity models

Unix, Orchestration, Hadoop, Pyspark, Docker, Oozie, Python, Evaluation, Airflow, K8S, Feature Store, ML lifecycle tools, Spark-ml, Big Data modeling, ML Models Lifecycle Frameworks, Distributed processing, MlFlow, Dagster, Lake Warehouse architectures, model monitoring

theano , Sql, Java, Deep Learning, Tensorflow, Pyspark, Machine Learning, Data Science, Shell Scripting, Spark SQL, Python, Nlp, Scala, MLOps Tools, GraphDBs, Data Mining Techniques, NoSQL Databases, Go, Time Series Forecasting, Caffe, Torch, Recommendation Engines

Python, Sql, R, classification and regression, ML algorithm performance, analytics pipelines, machine learning models

Matplotlib, Tableau, Sql, Nosql, Tensorflow, Numpy, Nltk, Pandas, Pytorch, Seaborn, Keras, Python, Gensim, GPT, Scikit-Learn, R, BERT, SpaCy

MLops, Pytorch, Weakly-supervised learning, AI development in regulated environments, Medical image analysis, Deep learning workflows, Experiment reproducibility, Multimodal models

snowflake , causal inference , BigQuery, Pandas, Spark, Python, Sql, Statistical Analysis, scikit-learn, cloud data environments, statsmodels

Machine Learning, Deep Learning, Tensorflow, Sklearn, Numpy, Pytorch, MLops, Pandas, Keras, Python, CrewAI, LangChain, Generative AI, Polars, Pinecone, AutoGen, R, ChromaDB, Weaviate, LlamaIndex

causal inference , Tensorflow, Numpy, Deep Learning, Pandas, AWS, Pytorch, Python, Azure, Gcp, MLOps tools, GenAI, Scikit-learn, probabilistic forecasting, cloud platforms, Gradient boosting, Bayesian Methods, Statistical Modeling, time-series forecasting

Matplotlib, Amazon Web Services, Google Cloud Platform, Power Bi, Pyspark, Tableau, Tensorflow, Pytorch, Databricks, Seaborn, Microsoft Azure, Keras, Python, MLflow, GitHub Copilot, Dask, Amazon CodeWhisperer