Дмитро

Contact information

Phone: [открыть контакты](см. выше в блоке «контактная информация»)
Email: [открыть контакты](см. выше в блоке «контактная информация»)
WhatsApp: [открыть контакты](см. выше в блоке «контактная информация»)
Telegram: DMan_Slav
LinkedIn: Dmytro Rybentsev
Dmytro Rybentsev
Position
Data Analyst

Summary of Data Analyst with a developer background. Proficient in SQL and Excel (including
Qualifications pivot tables), with hands-on experience in Python.
Highly motivated to drive data-driven product decisions through advanced A/B
testing and cohort analysis.

Technical Skills
- Power BI, GoogleSheets, Excel,
- Databases: SQL advanced,
Tableau + Prep, Statistics,
PostgreSQL, MySQL, MongoDB
LookerStudio, A/B tests, cohort
analysis, statistical testing

- Systems: Linux(Ubuntu),
- Python ecosystem (libraries):
Windows
numpy, scipy, matplotlib, hashlib,
torch, transformers, jupyter,
sqlalchemy

Soft Skills Stress Resistance and Adaptability: Cross-cultural Communication:

Proven ability to stay productive under Effective collaboration within diverse teams
pressure and in new environments. (experience in India, multicultural
environments).

Social Responsibility:
Self-organization and Time Management:
Volunteer in orphanages; organized and
Developed strong self-discipline and the
conducted educational and recreational
ability to manage my time effectively while
events for children in orphanages and
living abroad, including organizing my daily
boarding schools for vulnerable
routine, tasks, and priorities in new and
groups.
dynamic environments.

Leadership and Coordination:
Positive Approach to Change and Travel:
Experience in organizing myself and others,
ensuring smooth collaboration in
 Comfortable with frequent travel and multicultural teams, and coordinating of
adapting to new places, always looking for actions
opportunities to learn, grow, and enhance
Experience in organizing festivals and
personal and professional experiences.
managing teams in dynamic environments.
Proven ability to coordinate actions in
unfamiliar settings.

Data Analyst
Experience / IT related
▪ SQL & Databases: Wrote complex SQL queries (SELECT, JOINs, subqueries, CTE, window
educational practice
functions, VIEWs, etc) to extract and manipulate data from relational databases.
▪ Data Visualization: Designed dashboards and reports using Tableau / Looker Studio
to track key metrics.
▪ Excel & Spreadsheets: Utilized advanced Google Sheets functions (Pivot Tables,
VLOOKUP, Filter) and Excel for preliminary data analysis and cleaning.
Exploratory Data Analysis (EDA): Conducted EDA to identify patterns, anomalies, and
correlations in datasets.

End-to-end A/B Testing & Product Analytics Pipeline
▪ ETL Pipeline: Developed ETL pipeline in Python to load and process 250,000+ user and
transaction records into PostgreSQL, ensuring data integrity and scalability for e-
commerce A/B testing.
▪ End-to-End Infrastructure: Built end-to-end analytics infrastructure for A/B test
evaluation (control vs. treatment groups), incorporating ETL (PostgreSQL), cohort
analysis, statistical testing (Z-test for conversions, Welch's t-test for revenue), and
interactive visualizations using Plotly.
▪ Analysis Modules: Implemented modules for cohort analysis (retention rates, LTV
calculations) and statistical hypothesis testing (Z-test, t-test) to assess experiment
effectiveness, enabling data-driven decisions on feature rollouts.

ETL Data Pipeline Project
▪ Automation: Developed an automated data pipeline using Python (Pandas) to extract
raw data from API, clean and transform it, and load it into a PostgreSQL Database .
▪ Data Quality: Implemented data validation checks to ensure accuracy before analysis.

Personal Pet Project:
▪ Collected and cleaned data, performed comparative analysis between theoretical
models and real-world LIGO data, visualized results using Matplotlib Library, and
compiled a comprehensive analytical report.(under development)

Backend Development Project (Team of 6) Role: Backend Developer &
Database Designer
▪ Database Design: Designed the database schema and managed user permissions/roles
(relevant to "security" in FinTech).
▪ Log Analysis: Implemented and configured the ELK stack (ElasticSearch, Logstash,
Kibana) to collect, visualize, and analyze system logs for performance monitoring.

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 ▪ Collaboration: Collaborated in an Agile environment, conducting code reviews and
managing tasks.

Spectral Geometry Research & Statistical Analysis
▪ Advanced Statistical Analysis: Conducted statistical analysis to evaluate network
properties, using stepwise regressions to prove exact correlations, achieving 𝑅^2 =
0.85 and 𝑝 = 4.2\𝑡𝑖𝑚𝑒𝑠10^{−7}.
▪ Robustness & Sensitivity Modules: Designed and implemented comprehensive stress
tests for various KNN parameters, boundary perturbations, and variations of random
initial values (seeds) to confirm the stability of the model

Links Link to the Analytical Report with tables & visualizations: Report

Link to the End-to-end A/B Testing & Product Analytics Pipeline

Link to the Data pipeline(ETL) project: data_pipleline

Link to my Tableau Public

Link to the repository with the project: Project-Stage-Academy/UA1244_alpha

Link to the repository with the pet-project: DMan113/hcqg_project

Link to the research
Languages
English Intermediate (B1)

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Education

Donbass State Machine-Building Academy 2008-2014

Additional education
(courses, trainings) Softserve Academy: Mate Academy:

- PYTHON FUNDAMENTALS - Data analyst course
- HTML5/ CSS3/ JAVASCRIPT FUNDAMENTALS
- DEVOPS FOR DEVELOPERS
- DATABASE FUNDAMENTALS
- PRACTICAL PYTHON
- PYTHON PROJECT-BASED LEARNING

Hobbies
Travels, Reading, Physics, Continuous Learning

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