William Ngbeken

Manchester,UK

Summary

A highly analytical and motivated graduate with a proven aptitude for data and technology, seeking to apply skills in Python, SQL, and data visualization to the energy sector. Possesses a strong foundation in data manipulation, statistical analysis, and building data-driven solutions. Demonstrated ability to deconstruct complex problems, develop ETL processes, and communicate insights effectively to support strategic decision-making. Eager to contribute to energy market analysis, forecasting, and trading support at a leading organisation like SEFE.

Overview

years of professional experience

Work history

Customer Service Manager

Entain Group

Manchester, Manchester

02.2023 - 10.2024

Architected and deployed interactive Power BI dashboards to track store KPIs, automating reporting and freeing up managerial time for analysis.
Conducted diagnostic analysis on customer behaviour datasets to identify root causes of performance issues, leading to targeted operational interventions.
Optimised data collection workflows, improving data quality and reliability for downstream reporting and modelling.
Devised strategies to improve customer engagement by 5%.

Customer Advisor

Three UK

Manchester

10.2024 - 08.2025

Utilised CRM analytics to segment customer data, identifying key trends to inform service strategy and improve customer retention.
Ensured 100% compliance in data handling and audit processes, adhering to strict GDPR and data governance frameworks.
Translated complex customer service outcomes into clear data summaries for stakeholder reports, enhancing operational visibility.

Skills

Technical Analysis: Python (Pandas, NumPy), SQL (SELECT, JOIN, WHERE, GROUP BY), SPSS, ETL Processes, Statistical Modelling, Forecasting Techniques Data Visualization & BI: Excel (PivotTables, VLOOKUP, Advanced Formulas, Data Models) Domain Interests: Energy Markets, Wholesale Trading, Smart Meter Data Analysis, Market Forecasting, Data Governance & Compliance

Core Competencies: Problem Deconstruction, Quantitative Analysis, Requirements Gathering, Stakeholder Communication, Agile Learning, Technical Documentation

Projects

Data Research Project – Final Year Dissertation | September 2024 - June 2025 Manchester Metropolitan University, Manchester, Engineered an end-to-end data pipeline for the collection, cleaning, and validation of multi-timepoint biomechanical data, demonstrating strong ETL capabilities., Applied advanced statistical modelling and hypothesis testing techniques in SPSS to extract significant, actionable insights from complex datasets, a skill directly transferable to energy market analysis., Synthesised technical findings into a compelling narrative for thesis defence, demonstrating strong ability to communicate data insights to both technical and non-technical stakeholders.

Websites

https://linkedin.com/in/william-ngbeken-89b63b30a

Timeline