Available for remote roles

ARTEM
ANTONEVYCH

Anti-Fraud & Data Analyst

Data Analyst with 1.5+ years of experience in anti-fraud analytics and product data. At 4bill.io, I built a real-time fraud monitoring dashboard adopted by the entire team – cut fraud-response time from hours to under 1h and halved the analysis workload. Automated multi-accounting detection and reporting (n8n + Python), saving 5+ hours of manual work weekly. SQL and Python are my primary tools – precision is the goal.

Contact me GitHub LinkedIn

1.5yr

Analytics experience

SQL

Core language

<1h

Fraud response time (4bill.io)

Portfolio projects

Anti-Fraud Analyst · 4bill.io

About me

Data that protects
and drives growth

I'm a data-driven Anti-Fraud Analyst at 4bill.io, where I monitor real-time and historical payment transactions across pay-in and payout flows – detecting suspicious behaviour before it becomes costly.

My approach is analytical and systematic: I work across multiple dimensions simultaneously – IP addresses, device fingerprints, BINs, geolocation, velocity, and transaction amounts – using SQL-based environments (Athena, PostgreSQL) and Python to surface trends that aren't obvious at first glance.

I track the metrics that actually matter in anti-fraud: TPR, FPR, precision, recall, fraud rate, and loss rate – and I build the dashboards to make all of it visible across the team in real time. My goal is always the same: transform noisy transaction data into a clear, actionable signal.

10mo

Anti-Fraud Analyst
at 4bill.io – real-time payment monitoring

11mo

Freelance Data Analyst
hands-on SQL & Python projects on real business scenarios

Technical skills

Stack & Expertise

● highlighted – most in-demand for Data / Anti-Fraud Analyst roles

SQL & DB

SQL

Query Optimization

Window Functions

CTEs

PostgreSQL

AWS Athena

MongoDB

Python

Pandas

NumPy

Matplotlib

Seaborn

Scikit-learn

EDA

Visualization

Tableau

Looker Studio

Google Sheets

Pivot Tables

Data Cleaning

Analytics

A/B Testing

Hypothesis Testing

Anomaly Detection

Fraud Metrics (TPR/FPR)

Segmentation

Correlation Analysis

Portfolio

Work that shipped

01 · Production · 4bill.io

Anti-Fraud Real-Time Dashboard

Problem Fraud rule triggers and blacklist activity were invisible – slow manual detection, no shared signal.

Solution Built an interactive dashboard aggregating rule triggers, BINs, device fingerprints, and geolocation data in real time.

Impact Faster issue detection and data-driven decisions – now a core monitoring tool at 4bill.io.

SQLPostgreSQLAthenaTableau

Internal · 4bill.io

02 · SQL · github.com/Antoneva98

Global Email Engagement & Account Creation Analysis

Problem Email performance (sends, opens, clicks, signups) across countries lived in separate sources with no unified view.

Solution Multi-country SQL analysis combining engagement metrics with segmentation attributes for user-level insights.

Impact Comprehensive engagement report identifying top-performing segments and underperforming regions.

SQLWindow FunctionsCTEsSegmentation

View on GitHub →

03 · Python EDA · github.com/Antoneva98

Global Retail Sales Analysis (Multi-Channel EDA)

Problem Multi-year sales data from online/offline channels was siloed in 3 unlinked datasets with quality issues.

Solution Cleaned and joined events, products, countries datasets; full EDA – time trends, geographic heatmaps, weekday seasonality.

Impact Surfaced revenue patterns, profit margins, and delivery delay insights across global markets.

PythonPandasMatplotlibSeabornEDA

View on GitHub →

Experience

Analytics timeline

Sep 2025 – Jun 2026 Most recent

Anti-Fraud Specialist

4bill.io · 10 months

Built a real-time fraud dashboard (hourly + daily views with alerts) adopted by the entire team – cut analysis time ~50% and brought fraud-response latency down from several hours to under 1 hour.
Automated daily multi-accounting detection and recurring reporting (n8n + Python) – eliminated ~5 hours of manual work per week.
Analyzed fraud patterns across IP, device fingerprints, BINs, geolocation and velocity in SQL and Python – turning findings into new prevention rules and strategies.
Ran cohort analysis to profile fraudster behaviour, building risk portraits that reduced false negatives and undetected fraud.

Nov 2024 – Sep 2025 Freelance

Data Analyst

Independent Projects · 11 months

Delivered hands-on data analytics projects modeled on real business scenarios.
Built a full-funnel SQL pipeline analyzing user acquisition and email engagement across 10+ countries – identified top-performing markets for campaign optimization.
Conducted ABC analysis of 200+ product categories across 15+ countries, informing inventory prioritization and pricing strategy.
Performed multi-year sales trend analysis with seasonal decomposition – delivered actionable recommendations for campaign planning.
Developed a content-based book recommendation engine using TF-IDF and cosine similarity in Python.
Created interactive Tableau dashboards and Looker Studio reports.
Tools: SQL (CTEs, window functions, JOINs) · Python (Pandas, NumPy, Matplotlib, Seaborn) · Tableau · Google Sheets · Looker Studio

ARTEMANTONEVYCH

Data that protectsand drives growth