Open to opportunities

Daria Rusakova

@dariarusakova

Message

I am a data scientist optimizing products with analytics, automation, A/B testing, and dashboards.

Portugal

Message

What I'm looking for

I seek a product-focused data science role where I can apply ML and analytics to improve user conversion, run experiments, build automated data pipelines, and collaborate with cross-functional teams in a growth-oriented environment.

I am a data scientist with hands-on experience driving product improvements through analytics and automation. At Sberbank I automated log aggregation with SQL and built Tableau dashboards to track GMV, DAU/MAU, churn, retention and conversion metrics.

I focus on turning data into product outcomes: I increased user conversion by streamlining funnels, simplified UI flows, introduced prefilled fields via integrations, and ran A/B tests for new features. I also replaced bootstrap-based estimation with the delta method to improve statistical accuracy.

Previously I worked as a QA Engineer leading automation for a Mutual Investment Fund product, automating four functional subsystems end-to-end and reducing testing time from one month to 15 minutes while lowering defective builds. I automated UI testing with a device farm and helped scale tests for other teams.

I hold a Master’s-level computer science background and built a diploma project: a financial assistant using RAG, LSTM, GPT and Streamlit to predict stock movements and provide company and peer analysis. I mentor juniors, design testing and analytics processes, and deliver practical, measurable results.

Experience

Work history, roles, and key accomplishments

QA Engineer

Sberbank

May 2019 - Jan 2023 (3 years 8 months)

Led testing and automation for a Mutual Investment Fund product across Web/Mobile/iPad, automating four functional subsystems to reduce testing time from one month to 15 minutes and lower defective builds.

Test Automation End To End Testing Integration Testing CI CD Test Strategy Mentoring

Data Scientist

Sberbank

Jan 2023 - Present (2 years 7 months)

Automated log aggregation with SQL to compute GMV, DAU/MAU, churn and retention; streamlined product funnel and UI to increase user conversion and ran A/B tests to validate features.

SQL Python Tableau A B Testing Funnel Optimization Data Aggregation Statistical Analysis

Education

Degrees, certifications, and relevant coursework

National Research University Higher School of Economics

Master's degree, Computer Science

2023 - 2025

Grade: GPA 8.8

Activities and societies: Core: Algorithms, Discrete Mathematics, Linear Algebra. Data analysis: SQL, Time series, Statistics, Probability Theory. Machine learning: NLP, Deep Learning. Project tools: RAG, LSTM, GPT, Streamlit.

Master's thesis developed a financial assistant that predicts stock prices and provides company and peer financial overviews using RAG, LSTM, GPT, and Streamlit.

National Research University Higher School of Economics

Bachelor's degree, Economic Sciences

2015 - 2019

Bachelor's thesis analyzed the sustainability of a commercial bank during crisis periods and predicted the likelihood of license revocation using logistic regression and RandomForest.

Karpov.Courses

Data Analyst Certificate, Data Analysis

2022 -

Activities and societies: Projects: analysis of app installations, unit-economics for online shops, RFM analysis, A/B tests, dashboards. Skills: SQL (ClickHouse, PostgreSQL), API usage, Python (Jupyter), Airflow DAGs.

Completed a Data Analyst course with projects in app installation analysis, unit-economics for online retail, RFM segmentation, A/B testing, and dashboard creation.