Position: Product Owner
Category: Product Manager
English level: fluent
Years of experience: 5

I was able to successfully liaise with Global Management Consulting firms  and other departments of bank  — especially McKinsey Moscow & Istanbul offices, Sales, Finance and Risks departments to shift sales from offline channels to online channels as a part of Digitalization Project and launching new campaigns to boost sales of all bank products. As a result, we increased digital sales volume by 310% and Bank reached the target of December 2021 in August 2021.
I have experience in traditional Banking & FinTech industry. As a Product Owner, I am responsible for the development of Airtime loans, Microlending and BNPL products. Product’s team is consisting of high performing software developers, data analytic, integration developers, and software engineers.

Achievements: 

• Increased the maximum allowed credit limit for different customer groups according to their characteristics, which covered 55% of the total customer base. As a result, revenue from selected customer groups increased by 194% compared to the previous month, leading to an all-time high revenue and profit record at the end of the month.
• Lead the team to deploy a new ML scoring model. Because of the significantly increased number of data points going the into new model, scoring accuracy increased significantly, resulting in a 39% growth in revenue in one month.

Previously, I worked as a Business Development Expert in Kapital Bank (one of the leading bank in Azerbaijan) and I have a strong background on developing strategic campaigns, digitalization, optimizing business processes, financial modeling and post analysis. Additionally, worked together with external TMT consulting firms. Please find some of my successful projects in my current work;

Lead LTV / CPS calculation project with external TMT consulting firm, Finance, Risks and other departments and successful created model.

Applied confidence T distribution methodology to business cases which increased forecast accuracy by about 50%

Predicted campaign results with 92% accuracy, as a result, the company increased sales by nearly 30 million AZN.