Open to opportunities

Greg Klugman

@gregklugman

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Data scientist skilled in ML, data engineering, and analytics to drive commercial impact.

Australia

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What I'm looking for

I seek roles where I can apply ML and data engineering to solve commercial problems, work with cross-functional teams, and scale predictive systems in production.

I am a data scientist with hands-on experience building production data pipelines, predictive models, and reporting solutions to support sales and commercial decision-making.

At Schneider Electric I built Python ETL pipelines, integrated SQL and MongoDB sources, automated workflows in GitHub, and connected data to Tableau to improve visibility and dashboard freshness.

I have developed and evaluated tree-based and deep learning models (Random Forest, LightGBM, XGBoost, TensorFlow, PyTorch) for lead, sales and pricing prediction, translating results into actionable insights that improved quote turnaround and opportunity scoping.

My background includes a Master of Mathematics (UNSW) with a focus on computational methods and reinforcement learning, co-founding an AI/ML student society, and practical experience across analytics, sales support and stakeholder communication.

Experience

Work history, roles, and key accomplishments

Data Scientist

Schneider Electric Australia

Jan 2023 - Dec 2025 (2 years 11 months)

Built Python pipelines and automated workflows to ingest and maintain SQL and MongoDB datasets, automated Tableau reporting for sales visibility, and developed tree-based predictive models (Random Forest, LightGBM, XGBoost) to forecast leads and opportunity outcomes.

Tableau GitHub LightGBM XGBoost Random Forest Data Engineering Python SQL MongoDB

Business Analyst (Data & ML)

Schneider Electric Australia

Jan 2023 - Dec 2023 (11 months)

Analysed market and customer trends with Python and SQL, implemented predictive pricing models using TensorFlow/PyTorch to accelerate quote turnaround, and produced KPI reporting to identify bottlenecks and improve conversion.

Python SQL TensorFlow PyTorch Excel Data Analysis

Sales and Administrative Assistant

Cotral Australia

Jan 2019 - Dec 2022 (3 years 11 months)

Provided ordering, inventory and logistics support, liaised with enterprise clients to ensure accurate end-to-end fulfilment, and maintained customer relationships to support retention and repeat orders.

Order Management Inventory Control Logistics Customer Service Communication Administrative Support

Education

Degrees, certifications, and relevant coursework

University of New South Wales

Master of Mathematics, Mathematics

2024 -

Grade: Distinction

Activities and societies: Student exchange to Technion – Israel Institute of Technology (2025); Master's thesis: Reinforcement Learning for Agents in Dynamic Environments (2025).

Enrolled in a Master of Mathematics with coursework and thesis focused on computational mathematics, stochastic processes, and reinforcement learning; expected completion Feb 2026.

University of New South Wales

Bachelor of Commerce / Bachelor of Economics, Commerce / Economics

2019 - 2022

Grade: Distinction

Activities and societies: Co-founder and Executive of the Artificial Intelligence and Machine Learning Society (AIMLsoc); High distinctions in selected courses.

Completed a combined Bachelor of Commerce and Bachelor of Economics with majors in Econometrics, Business Analytics and Financial Technology, graduating with Distinction.

Emanuel School

Higher School Certificate, Secondary Education

2013 - 2018

Grade: ATAR 91.60

Activities and societies: High School Prize for Mathematics; representative sport and mathematics competition distinctions.

Attended secondary school and completed the Higher School Certificate, achieving an ATAR of 91.60 with awards in mathematics and academic achievement.