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Temirlan Nazyrkhanov

@temirlannazyrkhanov

Product Analyst using SQL, Python, and Amplitude to optimize in-app experiences through A/B testing and data-driven insights.

Kazakhstan

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What I'm looking for

I’m looking for a role where I can use SQL, Python, and Amplitude to run A/B tests, automate dashboards, and improve conversion, engagement, and retention through data-driven product and marketing decisions.

I’m a Product Analyst with over 2 years of experience at Kaspi Bank, specializing in analyzing product performance for in-app features and external advertising. I focus on turning user behavior into actionable recommendations that improve engagement and product outcomes.

I design and execute A/B tests to drive measurable lift in conversion and retention. I’ve built automated dashboards using SQL and Python, reducing reporting time by 40, and I use Amplitude to analyze user behavior and retention to support growth in monthly active users.

Previously, as a Campaign Specialist, I launched multi-channel campaigns and segmented customers using behavioral and transactional data. I collaborated cross-functionally with product, analytics, and development teams to prioritize high-impact initiatives and improve performance metrics like CTR, active user engagement, and campaign responsiveness.

Experience

Work history, roles, and key accomplishments

Current

Product Analyst

Current

Kaspi Bank

Jan 2025 - Present (1 year 6 months)

Analyzed product performance for in-app features (product ads, seller bonuses, review bonuses, external advertising), identifying opportunities that increased user engagement by 15%. Designed and executed A/B tests and built automated SQL/Python dashboards, improving conversion rates by 10–12% and reducing reporting time by 40%.

Product Analytics User Behavior Analytics Retention Analysis A B Testing Conversion Rate Optimization SQL Python Dashboarding Automation Amplitude Data Storytelling Reporting

Campaign Specialist

Kaspi Bank

Nov 2022 - Dec 2024 (2 years 1 month)

Launched multi-channel marketing campaigns in Kaspi Pay, increasing active user engagement by 20% and improving campaign performance by optimizing content placement and monitoring metrics. Segmented customers using behavioral/transactional data and ran A/B tests on push and in-app campaigns, raising CTR by 18% and boosting conversion by 10%.

Marketing Campaigns Campaign Optimization Customer Segmentation A B Testing Push and In App Testing CTR Optimization User Behavior Analytics Performance Monitoring