Личные данные скрыты

Dmytro Rybentsev
SQL · Python · Graph ML · A/B testing · Product analytics

PROFILE

Data Analyst with a software engineering foundation. Built production-grade analytics
pipelines processing 250,000+ records, a multi-task Graph Neural Network for
systemic risk prediction across 6,400+ stress scenarios, and end-to-end A/B testing
infrastructure. Proficient in SQL, Python, and BI tools (Tableau, Power BI, Looker
Dmytro Studio). Seeking a role where analysis directly drives product decisions.
Rybentsev
PROJECTS & EXPERIENCE
Data Analyst · ML Analytics

A/B Test: Reminder Conversion Analysis 2026
C O N TA C T Independent Analytics Project Python · Frequentist · Bayesian · Causal ML
✉ [открыть контакты](см. выше в блоке «контактная информация») – Designed and analyzed an A/B test (125K+ users) on a chat reminder feature, finding a
statistically significant +6.37% conversion uplift (p=0.0068, Bayesian P(Test>Control)=99.64%).
☎ [открыть контакты](см. выше в блоке «контактная информация»)
– Validated robustness via Simpson's Paradox check, novelty-effect analysis, sequential testing
✈ Telegram: DMan_Slav (O'Brien-Fleming), and CUPED variance reduction.
in linkedin – Built a T-Learner uplift model (CV AUC 0.83) to identify persuadable user segments, informing
⨁ Asia · Open to relocation targeted rollout recommendations.

TECHNICAL SKILLS CascadeNet — Systemic Risk Early Warning System 2026

Analytics & BI Independent ML Research Project PyTorch · PyTorch Geometric · XGBoost
SQL (adv.) · Tableau · Looker Studio · Excel / – Designed and trained a multi-task Graph Attention Network (GAT) to predict bank defaults
GSheets and systemic contagion under macroeconomic stress.
Statistics & testing – Built an automated ETL pipeline processing 32 quarters of interbank lending data; simulated
6,400+ stress scenarios via the Eisenberg-Noe clearing algorithm.
A/B testing · Cohort analysis · LTV · Z-test /
t-test · Regression · Bayesian – Outperformed XGBoost baseline in F1-score and Brier Score calibration; validated resilience
through COVID-19 and 2023 banking crisis regime shifts.
Python / ML
Pandas · NumPy · SciPy · PyTorch · torch-
geometric · XGBoost · sklearn · Plotly Spectral Geometry of Vogel Spiral Graphs 2025–2026

Databases Independent Research Python · SciPy · NumPy · Statistical analysis

PostgreSQL · MySQL · MongoDB – Discovered phase transition laws (βc(q) ≈ 0.19/q) in aperiodic graphs using stepwise regression
— validated at R²=0.85, p=4.2×10⁻⁷.
Other
– Designed comprehensive stress tests across KNN parameters, boundary perturbations, and
Git · Linux · ELK stack · REST API
seed variations to confirm model stability.

L ANGUAGES
End-to-end A/B Testing & Product Analytics Pipeline 2025
Ukrainian Native
Analytics Project Python · PostgreSQL · Plotly · Z-test · t-test
English B1 Intermediate
– Developed an ETL pipeline loading and cleaning 250,000+ user and transaction records into
PostgreSQL with full data integrity validation.

SOFT SKILLS – Built analytics infrastructure: cohort analysis, retention rates, LTV calculations, and statistical
testing.
· Adaptability — India & China experience
· Self-organization across time zones
· Multicultural Agile teamwork
· Volunteering with vulnerable youth

INTERESTS

· Physics
· Continuous learning
· Travel & reading
Dmytro Rybentsev Data Analyst · CV continued · page 2 / 2

PROJECTS & EXPERIENCE (CONTINUED)

Automated ETL Data Pipeline 2025

Engineering Project Python · Pandas · PostgreSQL · REST API
– Built end-to-end pipeline: API extraction → transformation → PostgreSQL load with automated data validation.
– Implemented schema-level integrity checks ensuring accuracy before downstream analysis.

Backend Development — Team Project 2024

Backend Developer & DB Designer · Team of 6 · Agile PostgreSQL · ELK Stack
– Designed the database schema and managed user permissions/roles in a FinTech security context.
– Configured ELK stack (ElasticSearch, Logstash, Kibana) for system log collection, visualization, and performance monitoring.

E D U C AT I O N

SKELAR IT Analytics Intensive May 2026
Product Analytics · A/B Testing · SQL · Tableau · Marketing Analytics · Python · AI for Analytics

Mate Academy — Data Analyst 2025–2026
SQL · Python · Tableau · BI tools · Statistics · A/B testing

SoftServe Academy 2023–2024
Python · Database Fundamentals · DevOps · HTML5/CSS3/JS · Project-Based Learning

Donbass State Machine-Building Academy 2008–2014
Engineering degree

PROJECT LINKS

A/B Test: Reminder Analysis CascadeNet
↗ ↗
analysis report github.com/.../cascade_net

Analytical Report A/B Testing Pipeline
↗ ↗
view full report github repository

ETL Pipeline Tableau Public
↗ ↗
data_pipeline repository portfolio

Spectral Research
↗
research paper