Hello, I'm Azat. I'm a Data Scientist with over 5 years of professional experience.

About me

My journey into data science didn't begin with machine learning — it started with problem-solving. After earning my degree in Business Administration, I began as a Financial Analyst at KPMG, where I learned to break down complex data, build financial models, and make clear recommendations under pressure. But I soon realized I wanted to go deeper: not just analyze outcomes, but help shape them through data-driven products and decisions.

Over the past few years, I've grown into a Data Scientist specializing in product analytics, GTM analytics, experimentation, causal inference, and applied machine learning. At Capital One, I worked on analyzing large-scale user behavior, designing A/B tests, building dashboards, and developing predictive models to support retention, conversion, and product strategy.

Most recently at Meta Reality Labs, my work has focused on GTM and promo analytics for Reality Labs products. I use causal impact analysis to measure incremental sales, evaluate promo efficiency, and support campaign decision-making across product and business stakeholders.

For me, data science is about more than algorithms. It's about curiosity, experimentation, and creating meaningful impact — whether that's optimizing user journeys, improving acquisition efficiency, or building scalable analytics workflows that help teams make better decisions.

Outside of work, I'm a husband, a weekend hiker, and a regular on the pickleball court. Sports and hobbies keep me grounded, teaching patience and continuous improvement — values I bring back into every project and model I build.