Zia R.

Data Scientist

KPMG • Temps plein

Jan 2020 - Jul 2025 • 5 yrs 6 mos

Worked on customer analytics and risk modelling for a large UK-based eCommerce retailer, focusing on predicting customer default and detecting potential fraud to support better decision-making and reduce financial risk. -Improved risk strategies and decision-making processes, contributing to ~£2.5 million in cost savings -Built predictive models in Python to identify high-risk customers and potential fraudulent behaviour -Performed data cleaning, feature engineering, and exploratory analysis on large-scale customer datasets -Developed SQL queries and data pipelines to extract and transform data from multiple sources -Analysed customer behaviour and transaction patterns to uncover risk signals and anomalies -Delivered actionable insights and reports to support business and risk teams

Data Engineer

Unilever • Temps plein

Aug 2015 - Nov 2019 • 4 yrs 3 mos

Worked across multiple business units including supply chain and eCommerce, building data solutions and dashboards to support operational and commercial decision-making. -Developed dashboards across supply chain, sales, and eCommerce, improving reporting efficiency by ~40% and enabling faster decision-making -Collaborated with 6+ cross-functional departments to translate business needs into scalable data solutions -Built and maintained data pipelines, reducing manual data processing time by ~30% -Wrote optimised SQL queries and handled large datasets, improving query performance and data accessibility -Performed data analysis using Python to identify trends and inefficiencies, contributing to improved operational insights -Delivered insights that enhanced visibility across operations and supported measurable improvements in performance tracking