Tolulope Banjoko

Draft procurement contracts supporting sourcing strategies while embedding legal, commercial and risk requirements to protect business interests. Prepare negotiation materials and collaborate with commodity buyers to secure cost, delivery and risk‑aligned outcomes. Analyse existing contracts and optimise amendments and settlement terms to align with operational delivery expectations. Act as a point of support for transformation projects with contractual implications, ensuring confidentiality and IP requirements are adhered to. Contribute to capability uplift by coaching junior buyers through Procurement Academy initiatives.

Quality compliance, Delivery Adherence, Documentation certification

Graduate Supply Officer Procurement Operations

Evaluated autonomous sourcing and contract automation use cases, ensuring ethical deployment and transparency. Supported development of governance requirements for integrating AI workflows into SAP‑based procurement environments. Assessed operational impacts of AI‑driven supplier scoring and negotiation tools to improve decision support.

• Conduct comprehensive data analytics to assess market trends, customer behaviour, and competitor strategies. • Utilize Python for data manipulation and preprocessing to enhance the accuracy of market intelligence. • Collaborate with cross-functional teams to translate data insights into actionable business strategies. • Analyse client data to identify preferences, needs, and potential upsell opportunities. • Create customized proposals and communication strategies based on data-driven insights. • Implement CRM tools for effective tracking and management of client interactions. • Design and implement KPIs to measure and evaluate the effectiveness of business development initiatives. • Conduct regular performance analysis to identify areas for improvement and optimization.

Logistics

• Utilize advanced statistical modelling techniques to analyse sales data and identify growth opportunities. • Implement predictive analytics models to forecast sales trends and optimize pricing strategies. • Develop and maintain interactive dashboards using Tableau for real-time sales performance tracking. • Utilize Tableau for creating visually compelling reports and dashboards. • Communicate complex data insights to both technical and non-technical stakeholders effectively. • Apply machine learning concepts in Python to develop accurate sales forecasting models. • Collaborate with supply chain teams to ensure optimal inventory levels based on sales predictions.

• Conduct in-depth analysis of user behaviour on the marketplace using R, identifying trends and optimizing product listings. • Utilize competitive intelligence and data analytics to benchmark against competitors. • Identify areas for product differentiation and market positioning through comprehensive analysis. • Collaborate with the marketing team to develop targeted campaigns based on marketplace insights. • Apply machine learning algorithms for personalized customer engagement and recommendation systems. • Listen to Telesales calls and build weekly report. • Clean derived data from different lead channel on the CRM and sort them to their respective team

• Conduct detailed data analysis to identify areas for system improvement and optimization. • Utilize SQL for database management and optimization of application performance. • Implement machine learning algorithms to automate routine system maintenance tasks. • Analyse user behaviour patterns to identify training needs and gaps in system usage. • Develop and implement targeted training programs for staff, ensuring efficient use of applications. • Provide technical support for business applications, troubleshooting issues, and ensuring seamless functionality. • Collaborate with IT teams to implement and customize software solutions, enhancing overall efficiency.

Maintenance and repair the company's vehicles. Conduct routine service and neccesairy repairs.