Blossom Nnyamah Honored with Data Innovation Excellence Award at the Tech Trailblazer Visionary Prize Ceremony for Pioneering Work in Credit Scoring and Data-Driven Banking

By Seyi olabiyi

 In an outstanding achievement at the Tech Trailblazer Visionary Prize Ceremony, Blossom Nnyamah, Senior Data Scientist at Access Bank, has been honored with the Data Innovation Excellence Award.

This prestigious accolade recognizes her transformative contributions to the banking sector in Nigeria, particularly in the areas of credit scoring and customer profiling, where her work has become a benchmark for the industry.
 
Blossom’s expertise has propelled Access Bank to the forefront of data-driven decision-making in Nigeria—a country where traditional data infrastructure is still evolving, often posing challenges to banks and financial institutions.

Unlike countries with robust credit bureaus, Nigeria’s data environment lacks comprehensive and accessible records for assessing creditworthiness. Blossom took on this challenge with ingenuity, pioneering a unique approach to assessing customer creditworthiness by analyzing transactional data and profiling customer behaviors.
 
With her innovative mindset, Blossom developed methods that analyze patterns within customer transactions, such as spending habits, account activity, and repayment history. Her segmentation strategies categorize customers based on these behavioral patterns, allowing Access Bank to assess risk and design personalized loan offerings.

This breakthrough approach has dramatically improved Access Bank’s ability to offer credit to individuals and businesses, filling a critical gap in financial services in Nigeria.
 
Blossom’s contributions do not stop at just credit scoring; her work has ushered in an entirely new perspective on how banks can utilize data to address underserved sectors. By helping Access Bank harness the power of customer data, she has opened doors for thousands who previously struggled to access financial services due to limited credit history.
 
Blossom’s data innovation has had a ripple effect, strengthening financial inclusion across Nigeria. Many customers who were once invisible to traditional credit systems are now able to receive loan offers tailored to their profiles.

This not only supports personal and business growth for these individuals but also positions Access Bank as a leader in promoting economic empowerment through innovative data applications.
 
Her work has brought unparalleled benefits to Access Bank’s operations as well, enabling departments to make data-backed decisions with greater confidence.

By fostering an environment that prioritizes data integrity, accuracy, and actionable insights, Blossom has helped create an agile, customer-focused banking experience. Her influence spans beyond data science and impacts every part of the bank, making her a true asset to Access Bank and the broader financial ecosystem.
 
Blossom Nnyamah’s receipt of the Data Innovation Excellence Award is a well-deserved recognition of her contributions as a visionary in data science, whose influence extends far beyond her role.

She has shown that data, even in complex or underdeveloped markets, can be a powerful tool to drive financial inclusion, enhance customer experience, and enable informed lending decisions that support Nigeria’s economy. Her achievements set a high standard for the future of banking in Nigeria, making her a leader and innovator whose work will inspire others in the industry.
 
As Access Bank continues to push the boundaries of data-driven banking, Blossom’s work is anticipated to play an even more significant role in shaping the future of financial services in Nigeria.

This recognition by the Tech Trailblazer Visionary Prize Ceremony is not just an acknowledgment of Blossom’s past achievements but a promise of the transformative impact she will continue to have in the years to come.
 
Congratulations to Blossom Nnyamah on this exceptional award and for her invaluable contributions to Access Bank, the Nigerian banking sector, and the field of data science as a whole.