• Received, cleaned, and prepped data using R, SQL, and Excel to help build marketing models that led to increased ROI of 3 basis points• Built data visualizations using Power BI for KPIs, thus reducing manual reporting by 7 weekly hours• Using Excel, built a calculator to help prioritize marketing expenses to maximize inputs like customer LTV, conversion rate, and organic traffic• Combined GSC and Analytics reports to identify strategic marketing opportunities through detailed analysis and making recommendations that saved campaign costs by over $2K

Engaged in coaching and mentoring SMEs on business process improvements in line with the World Bank business development template.• Developed processes for lead generation leading to 15% year-over-year growth in revenue• Analyzed and presented business case documents to executives in 55% of proposed projects• Traveled 3 of 5 days to work with clients, observing business processes, interviewing staff, and documenting practices• Researched and prepared presentations to clients regarding profitability reports, internal operating inefficiencies, and industry trends• Conducted research, analyzed business operations, and problem-solved operating inefficiencies, saving companies a combined 2 man-hours a month• Contributed to presentation preparations, and offered discussion in client and stakeholder meetings• Worked with stakeholders and clients to model and document goals, communicating transparently to meet 90% of deadlines

1. Managing daily operations, ensuring quality control and timely delivery of products/services.2. Training and coaching of trainees in key ICT packages3. Revision and deployment of innovative technologies4. Research, analysis and development of key management, financial and marketing strategies5. Web development: working with html, css, JS and wordpress.

• Collection of SME data for the 2009 National Manpower Stock and Employment Generation Survey in Nigeria• Compiled collected information for onward reporting 5 days before the stipulated deadline• Collaborated with team members to improve the data collection system, resulting in a 37% efficiency• Managed 100% of the allocated SMEs, including organizing schedules using Excel to achieve accurate data entry of all survey touchpoints