Scripting languages (e.g. Python), Data querying languages (e.g. SQL), Power analysis and minimum detectable effect (MDE) calculations, Machine Learning, Data mining, Statistical Modeling, Applied statistics, Large-scale analytics

Github, SAS, Sql, Python, credit risk model validation, Jupyter notebooks, stress testing models, Copilot, Claude, GPT, R-markdown, Basel regulatory standards, R, APRA regulations, IFRS9, irb

Github, Tableau, Sql, Decision Trees, advanced Excel, Statistical Modelling, Clustering, Python, Storyboarding, customer analytics, project management, Forecasting, a/b testing, Classification, Azure ML Model Deployment, R, probability models, Regression, Segmentation, churn modelling

graph databases , Tensorflow, Nlp, Pytorch, MLops, Neo4j, Keras, Azure, Python, AWS, embeddings, LLMs, knowledge graphs, LLMOps, Scikit-learn, vector databases, DGL, prompt engineering, RAG, semantic search

Machine Learning, Data Analytics, Python, Heat exchanger design, Distillation systems, Ai, Heat Transfer, Engineering software, First-principles dynamic models, Process Systems Engineering

Tensorflow, Pytorch, Python

Databricks, Azure, Sql, Python, AWS, Deep Learning, graph algorithms, Statistical AI

causal inference , Machine Learning, Hadoop, Sql, Hive, MLops, Spark, Python, Generative AI, Optimization, Statistical Measurement, Operations Research, AI Engineering, Simulation

snowflake , Tensorflow, Pytorch, Gcp, MLops, XGBoost, Azure, Python, Sql, AWS, Scikit-learn