SAS, Python, Sql, quantitative modeling methods, R, AML risk models, AI ML model development

Java, Hadoop, Scala, AWS Glue, Data Quality, Emr, Data Modeling, Sql, ELT, Hive, Data Integration, Spark, Python, Etl, AI capabilities, data presentation, Data pipelines

Machine Learning, Software Development, Testing, Software Development Life Cycle, Design Patterns, Coding Standards, programming, build processes, Reliability, Training, code reviews, Scaling, source control management, operations, transformer architecture, LLM fundamentals, Optimization Techniques, inference lifecycles

Pyspark, Machine Learning, Data Mining, Excel, Python, Sql, AWS, R, Rspark, Statistical Pattern Recognition

Python, Sql, Airflow, Temporal, Statistical Judgement, Dagster, Prefect

Python, LangChain, Statistical Programming Software, Weights Biases, embeddings, Research Analysis, Structured Query Language SQL, vector databases, MLflow, DL techniques, Traditional ML, Machine Learning Engineering Fundamentals, Statistical Methods, prompt engineering, LangGraph, GenAI frameworks, Large Language Models, RAG architectures

Pca, Sql, Pandas, Numpy, k-means, Clustering, Python, scikit-learn, hierarchical embeddings, topic-modeling, vector similarity, c-TF-IDF, Classification, UMAP, trace-clustering, data models, dimensionality reduction, classical ML foundations, HDBSCAN, causal methods, statsmodels, BERTopic

Java, C, Hadoop, Cassandra, Spark, Tableau, Predictive Modeling, Clustering, Sql, Python, Classification techniques

Python, Pytorch, Tensorflow, Numpy, Pandas, scikit-learn