Georgy Toporkov

Senior Data Analyst, Data Engineer Tech Lead

georgy@lebenswelt.space • +357 95 963257 • Limassol, Cyprus • https://lebenswelt.space • https://t.me/vprsnc

Summary

Data Analyst, Data Engineer with expertise in data analysis (Python, R, STAN),
data visualization (Metabase, Superset, Qlik Sense),
business analysis & applied statistics in domain of igaming,
and strong background in Data Engineering, Google Cloud Platform, OLAP databases (Clickhouse, Bigquery),
Airflow, Dagster, Apache Spark.
Capable of project management, team leadership, and mentoring and team growth.
Experienced in Linux and DevOps, CI/CD, service hosting and maintaining.

Experience

Financial Data Analyst Tech Lead:

2023 - Current

Company name under NDA Analytical infra

Designed analytical infrastructure, which has become company’s best practice.

Stack: Clickhouse, JupyterHub, DuckDB, Metabase, Superset, Dagster

Company name under NDA: Payment System Providers Distribution

Developed statistical model for evaluating and comparing PSP’s, dustributing money traffic between them for cost optimization. Strategy implemented successfully on several local markets.

Stack: Python Polars, R fitdistr, Gamma & lognormal distributions

Company name under NDA: Exchange rate risk strategy

Designed company’s best practise for dealing with high risk currency exchange rates, including P2P platform trading analysis camparison vs Central Bank rates.

Stack: R tidyverse, Rmarkdown report automation, Metabase

Company name under NDA: Cross-team (marketing) player behaviour analysis

Developed prediction model for detecting players with risky behaviour (High frequency deposits/withdrawals leading to increased operation costs).

Stack: Python polars, PyMC3, Markov Chain Monte-Carlo

Company name under NDA: Cross-team (antifraud) player behaviour analysis

Fraudulent player behaviour detection automation.

Stack Python, Clickhouse, Duckdb

BI Developer, Data Analyst

2021 - 2022

Bufab: report developing

Working with Qlik Sense to Provide C-level peers with data regarding business processes. Assisting in data-driven decision making process.

Stack: Qlik Sense, Python, R

Bufab: usage analysis for cloud cost optimization

Built a clustering model distributing cloud users for different Qlik Sense license types.

Stack: Python, Scikit-learn

Bufab: Local management consulting

Helped managing directors taking on company’s analytics best practices.

Stack: Qlik Sense, Power BI

Data Analyst, Data Engineer at Eunion Capital

2018 - 2021

• Built up analytics infrastructure with VPS, MySQL, Google Colab for sharing BI’s
• Built multiple dashboards with Plotly Dash
• Build ETL’s for regular data extraction from web analytics, CRM’s, and other sources

Stack: Airflow, Bash, Python, Apache Superset, Selenium

Key competences

Project/team management, team growth, statistics, analytics, data visualization, ETL, DevOps, Python, R, SQL