DATA SCIENTIST & CLOUD ENGINEER

Stephen Brownsey

Senior Cloud and AI Engineer @ 4most

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SENIOR CLOUD AND AI ENGINEER

Driving Databricks AI adoption through agentic workflows and MLflow

AI AUTOMATION ML OPS

Experienced in both pre-sales and implementation with clients, and championing Databricks AI adoption internally

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SENIOR CLOUD ENGINEER

Leading cloud infrastructure and cost optimisation

CLOUD INFRASTRUCTURE COST OPTIMIZATION

Managing cloud infrastructure strategy, cutting legacy system costs by 75% through strategic migrations, and establishing scalable Azure Databricks environments

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DATA SCIENCE CONSULTANT

Building reusable ML frameworks and enabling teams across the organization

ML FRAMEWORKS TEAM ENABLEMENT

Creating reusable ML frameworks and coding templates that reduced project onboarding time by 90%. Serving as AI subject matter expert across credit risk and insurance business units

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DATA SCIENTIST

Producing ML solutions for an engaging marketing and advertising experience

DATA SCIENCE ML FOR MARKETING

Leading development of web applications leveraging survey data and XGBoost for automated campaign planning. Optimized ML logic and BigQuery architecture, reducing query times by 90%

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ANALYTICS & ENGINEERING FOUNDATIONS

Building foundations in analytics, statistics, and software quality

ANALYTICS SOFTWARE QUALITY

Early career roles across diverse industries including insurance, pharmaceuticals, and software development. Developed expertise in data analysis, statistical methods, and software quality assurance

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Personal Projects

Price Data Analytics Platform

GCP • BigQuery • Cloud Functions

Used GCP's Cloud Functions and BigQuery to continually scrape and store over 500 million rows of price data. Built a comprehensive analytics platform for real-time price monitoring and trend analysis.

Python GCP BigQuery Cloud Functions

Gaming Investment Intelligence Bot

Databricks • LLMs • Discord Bot

Built DLT pipelines in Databricks to store price, highscore and drop-table information on a PC game to detect items to invest based on bot busting wipes and general trend analysis using an agentic workflow with LLMs and Genie spaces.

Python Databricks LLMs Discord API