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

data engineering , Big Data, Sql, Nosql, Distributed Computing, Statistics, Mathematics, calculus, Optimization, Transformers, linear algebra, Knowledge Graphs

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

Hadoop, Sql, Deep Learning, Tensorflow, Hive, Pytorch, Docker, Elastic Search, Kubernetes, Python, GenAI, Vector DB, LLMs

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

Hypothesis Testing, Pyspark, Sql, Nlp, Pandas, Databricks, Python, GenAI, optimisation methods, scikit-learn, sensitivity analysis, MLflow, cross-validation, causal inference techniques, model validation, Experimental Design, back testing