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

Tensorflow, Numpy, Pandas, Pytorch, Python, Statistical Analysis, R, Scikit-learn

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

Nlp, Gcp, Spark, Python, Sql, Deep Learning, GenAI, Agentic AI, LLMs, RAG, Transformers

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

Deep Learning, Tensorflow, Machine Learning, Scala, Pyspark, Spark, Keras, Python, GenAI, scikit-learn, MLlib

Machine Learning, Sql, Databricks, Python, Forecasting, Azure Data Lake ADL, AI GenAI frameworks, Data wrangling and feature engineering, Optimization Techniques, Statistical Modeling, Advanced analytical problem solving, Dashboarding and analytics visualization tools