Ufuoma Ibude

Building data-driven models to understand and improve recycling + remanufacturing ecosystems within the circular economy Translating complex, real-world challenges into measurable variables, constraints, and decision models Mapping system dynamics across stakeholders (manufacturers, recyclers, consumers, policy) to identify leaks, bottlenecks, and trade-offs Developing analytical workflows: data collection, cleaning, feature engineering, simulation/optimisation, and model evaluation Collaborating with a multidisciplinary research team to deliver research outputs with real-world relevance (papers, presentations, and industry-facing insights)

▪ Developed and deployed machine learning models using Python and Scikit-Learn, increasing demand forecasting accuracy by 20%, leading to optimized resource allocation. ▪ Automated data pipelines and ETL workflows in Python, reducing data processing time by 50% and improving real-time analytics capabilities. ▪ Designed and maintained PostgreSQL databases, ensuring high data integrity and improving query performance, reducing data retrieval times by 35%. ▪ Built interactive dashboards in Tableau, visualizing key performance metrics and helping stakeholders make data-driven decisions, increasing operational efficiency by 30%. ▪ Performed basic statistical analysis and predictive modeling, identifying trends that led to a 15% increase in client retention through targeted business strategies. ▪ Implemented scalable workflows using Jupyter and Google Colab, streamlining model development and deployment while minimizing manual effort.

▪ Handle and manipulate 50,000+ customer records within the CiviCRM database, improving data accuracy and accessibility for decision-making. ▪ Create 10+ dynamic dashboards and reports in Power BI and Tableau, equipping leadership with key performance metrics for strategic decision-making. ▪ Streamline data extraction and visualization workflows, reducing manual effort and enhancing efficiency in reporting. ▪ Conduct in-depth trend analysis and key performance indicator (KPI) tracking, empowering stakeholders with data-backed recommendations.

▪ Built Power BI dashboards and analyzed feedback to improve operations by 50%. ▪ Managed and analyzed organizational databases in Excel, extracting insights that enhanced service offerings by 20%. ▪ Collaborated across departments to acquire essential business data, reducing project completion time by 30%. ▪ Conducted comprehensive data cleaning, including duplicate removal and preprocessing, achieving 98% data accuracy for performance analysis. ▪ Developed and presented Power BI dashboards, effectively illustrating key findings and driving a 15% increase in data-informed strategies.

• Provided telephone support to over 100,000 account holders, reducing average call duration to six minutes, surpassing the corporate target by 25%. • Promoted company advertisements across social media, magazines, and television, boosting national and international awareness by 20%. • Successfully signed up approximately 500 customers, increasing company profitability by 15%. • Promoted diversity within the company, fostering an inclusive environment that enhanced employee contribution and collaboration.

Managed company accounts and prepared detailed financial reports, resulting in a 15% improvement in financial oversight and accuracy for senior management. Led efforts in the debt recovery process, successfully recovering over $500,000 in outstanding debts, which significantly boosted company liquidity and cash flow. Prepared and processed purchase orders for multiple vendors, streamlining procurement workflows and reducing order errors by 10%, improving vendor relationships. Conducted comprehensive tax reconciliation reports, ensuring full compliance with regulatory standards and achieving a 20% reduction in tax-related discrepancies. Improved financial documentation processes by implementing standardized reporting templates, reducing reporting time by 25% and supporting faster audits.

Responded to over 100 customer inquiries and complaints daily, increasing customer satisfaction and trust by 20% through prompt and effective issue resolution. Facilitated communication with over 1,000 bank members on banking and sales activities, enhancing engagement and improving overall customer satisfaction scores. Processed over 500 daily financial transactions, including deposits, withdrawals, and transfers, maintaining 100% transaction accuracy and ensuring reliable financial records. Reconciled and maintained cash registers with zero discrepancies, ensuring 100% financial integrity and streamlining end-of-day reporting. Prepared daily cash reports aligned with bank account records, sustaining a 100% accuracy rate and supporting efficient audit processes. Managed foreign exchange (Forex) transactions, including processing over 200 Form A requests monthly, ensuring compliance and error-free operations. Oversaw cash allocations to cashiers, monitored vault and till balances, and reduced customer wait times by 15% through optimized cash flow management.

I worked as the media advisor for the Applied Artificial Intelligence Society.

Bachelor's degree in Pure & Industrial Chemistry

The diploma course covered all the basic courses in python including functions, variables, advanced functions, lists & dictionaries, files and exceptions, numpy, pandas, working with scripts,object oriented programming...