Julia Banerjee

Advanced Analytics and Generative Ai Consultant @Kubrick Group

London, GB

Production Python & Collaboration: clean, modular Python development with unit testing, error handling and Git-based versioncontrol for professional, collaborative software delivery​.Statistical Analysis & Inference: rigorous foundations in Probability and Statistics, Hypothesis Testing, Bayesian and CausalInference, enabling robust and evidence-based decision-making in uncertain environments​.Data Science and Machine Learning: end-to-end ML workflows using Scikit-Learn, covering Supervised and Unsupervised ML,Feature Engineering, Model Evaluation and Optimisation for real-world business problems​.Graph Analytics and Network Science: advanced graph theory, Cypher querying and Neo4j-based modelling to analysecomplex networks and uncover hidden structures in connected data.​Domain-specific Optimisation: quantitative techniques in Risk Management and Supply Chain Analytics, applying mathematicalmodelling and linear programming to optimise financial and operational strategies​.Generative AI: foundational training in Deep Learning, LLMs, Hugging Face, OpenAI, Vector Similarity Search and Retrieval-Augmented Generation (RAG), enabling the design of intelligent agents and GenAI-powered tools​.Programming Languages: Python, SQL, Cypher

Birkbeck, University of London

MSc Computer Science, Computer Science

University of Birmingham

BA in Modern Languages, French, German and Russian