Christopher Aworh Email & Phone Number

Kitchener, ON, CA

London, England, United Kingdom

• Generate insights to identify and resolve potential duplicate or related entries within the system, focusing on postal address data by applying Machine Learning algorithms, specifically K-Means Clustering to cluster.
• Utilize Power Automate to create automated workflows, facilitating the successful migration and full integration of data into the ERP system (ServiceNow). Achieved over 100% efficiency in securing and migrating data.
• Develop and execute data extraction, transformation, and load (ETL) processes using Python and Power Query to ensure data integrity and consistency.
• Work closely with team members, including stakeholders from S45, SLP, and the billing team, to understand and manage data requirements and deliverables. Maintain open communication channels to ensure alignment on data.
• Prepare and present detailed reports to stakeholders, highlighting key achievements and areas for improvement.

• Lead a team to develop and implement data analytics and modelling concepts and capabilities and undertake resulting analysis for the business executive.
• Conduct in-depth research identifying suitable data models and algorithms, enhancing successful project outcomes by 15% and increasing the team's algorithmic knowledge.
• Implement robust Row-Level Security protocols, ensuring that designated users have permission rights, thereby enhancing data security.
• Automate the Business inventory report for Promasidor Subsidiary firm (Ikun-Dairy Farm) using SQL and Excel VBA, resulting in a remarkable 95% reduction in report generation time. This led to quicker decision-making.
• Redesign DAX calculations, significantly improving data model refresh time, which led to a 20% reduction in data access times, enhancing report efficiency.
• Utilise advanced DAX metrics calculations to calculate shipment and delivery dates, resulting in a 20% reduction in supply chain processing time.

• Drove data-driven decision-making by analysing and interpreting complex data sets, resulting in a 30% improvement in strategic planning accuracy.
• Generated SQL queries to extract data from multiple sources, resulting in a 15% improvement in data accessibility and analysis efficiency.
• Managed and updated Quarterly Commercial Forecast Targets, ensuring a 98% quarterly upload success rate into the BI model to facilitate real-time assessment of distributor performance and the distribution of incentives.
• Produced Naked Margin Forecasts with a 100% accuracy rate using File Maker, conducting in-depth root cause analysis on variances or issues to support Senior Management's vital decision-making on product pricing.
• Ensured the precision and readiness of VBA/SQL code and links, resulting in the automation of 95% of financial Excel files for month-end reporting.
• Leveraged automated tools, including Power Query, for data extraction, cleansing, and reporting, achieving a 90% reduction in manual data cleaning and a 50% improvement in data reporting efficiency.

• Coordinated monthly meetings with directors to lead in-depth stock position analysis, offering invaluable strategic financial recommendations.
• Monitored and analysed stock adjustments, meticulously scrutinised usage variances, and systematically tracked operational data trends to optimise stock management, resulting in a 15% reduction in carrying costs.
• Furnished the Senior Management Team (SMT) with timely and informative financial metrics, such as DIO (Days Inventory Outstanding), DSO (Days Sales Outstanding), DPO (Days Payable Outstanding), and CCC (Cash Conversion.
• Accomplished a remarkable 100% clearance of potential stock losses in transit by meticulously cleaning out all system virtual locations. This resulted in substantial annual savings and cost recovery of £150,000.
• Engineered comprehensive models to accurately capture overhead cost absorption into inventory, thereby enhancing transparency and precision in the reporting of total inventory costs.
• Conducted meticulous stock valuations, aligning physical valuations with General Ledger and Stock Module balances, ensuring the accuracy of financial reporting and compliance with auditing standards.

• Conducted extensive financial data analysis, examining key metrics and quantifying discrepancies to enhance financial statement accuracy and mitigate potential risks.
• Collaborated on the preparation of financial statements, ensuring their compliance with regulatory standards and employing quantifiable measures to improve overall financial reporting efficiency.
• Identified and quantified potential risks within client financial processes, offering actionable recommendations for risk mitigation that resulted in a 15% decrease in financial vulnerabilities.
• Conducted comprehensive evaluations of internal controls, using quantifiable benchmarks to gauge adequacy and effectiveness and delivering actionable improvements that reduced control deficiencies by 20%.
• Maintained detailed audit documentation, ensuring work papers accurately supported audit findings and conclusions, resulting in a 95% accuracy rate in audit documentation.
• Prepared detailed and quantifiable audit reports summarising findings and recommendations for clients, which facilitated better-informed decision-making and led to a 10% increase in corrective action implementation.

Master Of Science (Msc.), Data Science, Distinction

Master In Financial Mathmatics( Mfm), Financial Mathematics

Bachelor Of Science (Bsc), Mathematics And Economics, Second Class Upper