Артем

Artem Antonevych
Data Analyst
EMAIL
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LINKEDIN
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Data analyst with 1.5 years of experience, focused on data quality – because a dashboard is GITHUB
only as good as the data feeding it. I collect, validate and normalize data from multiple github.com/Antoneva98
sources, spot anomalies and errors most people miss, and ship clear reports and dashboards
(Google Sheets, Tableau, Looker Studio). At 4bill.io I automated daily data checks and TELEGRAM
t.me/antoneva98
reporting that removed ~5 hrs of manual work/week, and built a real-time dashboard
adopted by the entire team that cut analysis time ~50%. Strong in SQL (SELECT/JOIN, PORTFOLIO
optimization) and Python (pandas, NumPy), comfortable with large data volumes – and antoneva98.github.io/my_portfolio
most at home when a dataset isn't giving up its answer easily.
LOCATION
Rivne, Ukraine · Remote

EXPERIENCE
STACK
Anti-Fraud Analyst SQL & Databases
4bill.io · Payments · Remote Sep 2025 — Jun 2026
SQL PostgreSQL Window Fns CTEs
Built an interactive real-time fraud dashboard (hourly for the current day, daily
review of the prior day, with alerts), adopted by the entire team — cut analysis time Python
~50% and dropped fraud-response latency from several hours to under 1 hour.
Python Pandas NumPy Matplotlib
Automated daily multi-accounting detection & recurring reporting with n8n +
Python — eliminated ~1 hour of manual work per day (~5 hrs/week), freeing the Seaborn
team to focus on investigation.
BI & Automation
Analyzed fraud patterns across IP, device fingerprints, BINs, geolocation & velocity
( SQL on Athena + PostgreSQL, and Python ), tracking TPR / FPR , precision & Tableau Looker Studio
recall — turning findings into new prevention rules and anti-fraud strategies.
Google Sheets n8n Make
Ran cohort analysis to profile fraudster behaviour before activity, building
fraudster portraits that reduced false negatives and undetected fraud. AI Agents Claude

Data Analyst — Freelance Analytics & Methods
Independent Projects · Remote Feb 2025 — Sep 2025 Fraud Metrics A/B Testing
SQL: global email-engagement & account-creation analysis — multi-country
Cohort Analysis Anomaly Detection
segmentation and aggregated metrics (sends, opens, clicks, signups).
Python: multi-year retail sales EDA — cleaned and joined 3 datasets; geographic EDA Segmentation
heatmaps, delivery-delay and weekday seasonality analysis.
Strong in SQL (SELECT/JOIN, optimization) and Python (pandas, NumPy) —
comfortable with large data volumes. EDUCATION

Data Analyst
SELECTED PROJECTS
EPAM Campus
2025

PYTHON Global Retail Sales — Multi-Channel EDA Data Analyst
Cleaned and joined three datasets for a full EDA — time trends, geographic heatmaps Mate academy · Certificate ↗
Mar — Jun 2025
and seasonality — surfacing revenue patterns, profit margins and delivery-delay
insights. ↗ github.com/Antoneva98 Data Analytics
robot dreams · Certificate ↗
2025

SQL Email Engagement & Account Creation Machine Learning
Coursera
Multi-country SQL analysis combining engagement metrics with segmentation for Dec 2024
user-level insight — identifying top-performing segments and underperforming
regions. ↗ github.com/Antoneva98 Junior Specialist
Rivne Medical Academy
2016 — 2019

CERTIFICATE

Genesis Analytics Week ↗
Completed the final test, gaining practical insights
into analytics, product growth and data-driven
decision-making.

LANGUAGES

Ukrainian NATIVE

English INTERMEDIATE