Israel Olanipekun

• Conducted in-depth analysis using SQL, Python, and Power BI to identify trends and optimize marketing campaigns for improved lead generation and conversion rates.
• Registered migrants in the IOM database, scheduled medical examinations, managed documentation, and generated reports.
• Developed data-driven strategies to enhance operational efficiency and improve service delivery.
• Implemented data governance practices to ensure data quality, security, and compliance with data protection standards.
• Provided training and support to team members on data analysis tools and techniques, fostering a data-driven culture.

Achievements:

• Improved data processing efficiency by 20% through the implementation of a new data entry system.
• Reduced error rate by 85% by implementing data validation checks and quality control measures.
• Increased data accessibility by converting paper-based records to digital formats.
• Enhanced data security by implementing data encryption and access controls.

• Analyzed data to identify trends in customer payment behaviors and developed targeted collection strategies.
• Developed and implemented data-driven strategies to reduce delinquency rates and improve collections.
• Collaborated with teams for process improvement based on data insights.
• Utilized SQL, Python, and Tableau to create data visualization reports, enhancing the interpretation and communication of key metrics.

Achievements:

• Achieved a 15% reduction in delinquency rates within the first three months of implementing new strategies.
• Increased the collection rate and reduced the days delinquent from customers.
• Created Google Sheets and trackers to monitor growth and key performance indicators (KPIs).

• Progressed from Debt Recovery Officer to middle-level manager, leading a team of 50 agents in data-driven decision making.
• Developed and implemented data-driven strategies to achieve collection targets, increasing collections and decreasing delinquency rates.
• Conducted training sessions to empower team members in using data analysis tools, improving their skills and performance.
• Created monthly data visualization reports using SQL, Power BI, and Tableau to highlight performance and identify areas for improvement.

Achievements:

• Led the team to exceed collection targets by 25% for three consecutive quarters.
• Helped the company increase revenue and staff strength by 80%.
• Reduced operational costs by implementing cost minimization strategies, such as using bulk SMS and Robot calls to contact customers, and optimizing work shifts to include public holidays and weekends.