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 dissect 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 shape them with data-driven products.

Over the past 3+ years, I’ve grown into a Data Scientist specializing in product analytics, experimentation, and applied machine learning. At Capital One Shopping, I’ve worked on analyzing large-scale user event data, designing A/B tests, and building predictive models to support retention and product strategy. My toolkit includes Python, SQL, ML, Tableau, and cloud platforms like AWS and Databricks — but more importantly, I focus on translating complex data into actionable insights that guide decision-making.

For me, data science is about more than algorithms. It’s about curiosity, experimentation, and creating meaningful impact — whether that’s optimizing user journeys, deploying predictive models, or scaling analytics frameworks that empower teams.

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.