Oscar Sharpe Email & Phone Number

• My role was to manage strategic projects and develop services to drive process improvement, greater efficiencies and promote new ways of working across the business.
• Drove 48.3% increase in pricing accuracy improving reporting from 58% to 86% analysing transaction data in SQL to identify anomalies and potential areas for improvement.
• Delivered £20,000+ annual saving and cut pricing update costs by 85% having led cross-functional team in a sprint to analyse and enhance the sales process, resulting in launch of new Python-based solution.
• 98.9% reduction in time required for identification of obsolete stock, from 2 days to just 30-minutes, through the application of lean methodologies to streamline and improve business processes.
• Saved over 180 hours annually by automating the creation of monthly finance reports with Excel formulas.

London, England, United Kingdom

• As an Innovation Consultant, I managed products across the whole lifecycle, from concept to completion.
• Saved 2,000+ hours annually with launch of new product to streamline hiring process saving employee hours and removing need to hire additional staff, delivered 1-month ahead of schedule using agile methodologies.
• Conducted comprehensive market and competitor analysis to test product viability and identify target customers, pain points, and value proposition for an internal application.
• Secured £45,000 investment to develop a Python and machine learning-based Minimum Viable Product (MVP) to improve structural report analysis collaborating with engineering, marketing, and design teams.
• Managed products across full lifecycle from concept to completion and ensuring product vision was aligned with customer needs and business goals, collaborating with multiple business units to ensure buy-in.
• Exceptional Achievement Awards received for work in both 2020 and 2021.

London, England, United Kingdom

• Delivered 25% increase in reporting accuracy of a Python-based machine learning application through leverage of KPI data and user feedback to drive process of continuous improvement.
• Conducted detailed site survey data analysis with Python, Excel, and Power BI, using sentiment analysis algorithms and RegEx to automatically detect failures and prioritise next steps for senior management.
• Developed and implemented feedback dashboard used extensively across the business in Power BI through rigorous analysis of large amounts of SQL data.
• Analysed data to provide actionable insights and dictate product strategies tracking metrics and KPIs to measure progress and test hypotheses.