Abderrahman B.

Key Skills

Software

Other

Top Subject Matter

Quantitative finance / systemic risk analytics

Investment analytics / alternative investments

AI/ML for predictive market modeling and marketing optimization

Top Data Types

Image

Video

Text

Top Task Types

Text Generation

Freelancer Overview

Bank of England — Quantitative Analytics Intern (trade-pairing models, data validation automation, dashboards). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Engineering (Honours), University of Warwick and Advanced Level (A-Levels), Brampton Manor Academy. AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Computer Programming, Coding, and Text Generation.

Labeling Experience

Digital Strategy Lab — Co-Founder (AI toolkit, predictive modeling, automated benchmarking/optimization)

OtherText Generation

Co-founded and piloted an AI toolkit using Python and scikit-learn for predictive market modeling and integration of forecasts into go-to-market planning. Built an AI marketing engine that automated competitor benchmarking and campaign optimization across multiple accounts. Drove measurable conversion and cost improvements through repeated automated analysis and optimization cycles.• Developed predictive modeling components with scikit-learn in Python workflows.• Integrated model forecasts into SME targeting and planning processes.• Automated competitor benchmarking and campaign optimization tasks.• Achieved reported uplift in online conversions and reduction in client costs through system performance improvements.

2024 - Present

Oliver Wyman — Consultant Intern (AI chatbots, AI presentation tool, digital strategy)

OtherText Generation

Developed AI chatbot functionality to automate workflows within consulting engagements and later scaled integration across teams. Created an AI-powered presentation tool that automated slide structuring and visual design for internal project efficiency. Delivered CEO-level recommendations incorporating digital innovation and go-to-market insights into final strategy materials.• Built and iterated AI chatbot components to automate workflow tasks.• Automated slide structuring and visual design for presentations.• Integrated AI-enabled tools across internal projects and client engagements.• Produced digital and innovation recommendations adopted into final strategy.

2025 - 2025

Marketing & AI Strategy Project — Venture Strategy Consultant (ML-based segmentation & campaign optimization)

OtherText Generation

Conducted a market-entry study using a digital-first approach and applied machine learning to segment and predict customer behaviour. Produced data-informed campaigns aimed at increasing sales and improving targeting. Delivered a brand positioning strategy that supported retail partnership acquisition and geographic expansion planning.• Applied machine learning methods for customer segmentation and behavior prediction.• Produced campaign recommendations supported by model outputs.• Worked on go-to-market and brand positioning deliverables for partnerships.• Quantified campaign impact with a reported sales uplift.

2025 - 2025

Lumyna Investments — Alternative Investments Intern (benchmarking redesign, pricing models, scenario simulations)

Other

Redesigned peer benchmarking workflows across the UCITS universe using Excel/VBA/Python to reduce processing time and prepare for future AI-led tools. Developed pricing models and scenario simulations to inform portfolio exposure and leverage decisions supporting investment committee work. Embedded computational processes that improved repeatability and enabled downstream automation of analytics tasks.• Used Excel/VBA/Python to transform and benchmark datasets.• Built scenario simulations for risk-adjusted exposure decisions.• Contributed to client-facing market shaping with sales teams.• Supported investment leverage approval activity influencing fund growth trajectory.

2024 - 2024

Bank of England — Quantitative Analytics Intern (trade-pairing models, data validation automation, dashboards)

Other

Built and deployed predictive trade-pairing models using large-scale FMI datasets to strengthen systemic risk monitoring. Implemented data validation and anomaly detection automation workflows to improve data quality for model inputs. Designed executive dashboards in R Studio to support real-time oversight and decision-making.• Worked on modeling pipelines over 50m+ FMI data points rather than manual annotations.• Performed data quality checks and automated detection steps to reduce operational risk.• Used R Studio for dashboarding and monitoring workflows.• Supported cross-department strategy discussions by connecting analytics outputs to macroeconomic themes.

2024 - 2024

Education

Work History