Senior BI / Data Analyst · Belgrade, Serbia (CET)
I run analytics for three business lines at Avito — one of the world’s largest classifieds platforms — after starting my path at Deloitte. This site is the part a resume can’t show: two fintech products I ship end-to-end (one solo, one with a partner) and the AI engineering behind my analytics work.
KPI frameworks, A/B testing, funnel & cohort analysis, self-service reporting. I own analytics for three Avito Auto business lines end-to-end — from an open question to a dashboard stakeholders actually use.
SQL · Python · Power BI · Tableau · Redash · DataLens · ClickHouse · Trino · Airflow
Two production fintech web apps — a bond-portfolio builder and a personal-finance planner — designed, built, tested and operated end-to-end: product, data pipelines, deployment, monitoring.
React · TypeScript · Supabase (Postgres) · Vercel · ~2,400 automated tests combined
Internal automation that turns a dashboard request into a generated, validated dashboard — with human review in the loop. Multi-agent pipelines where they earn their keep, not where they sound good.
LLM tooling · Claude Code · MCP · reproducible pipelines · validation gates
The code is private, but the products are public — what they do, how they were built, and what they achieve.
Founder & sole engineer · bondsmate.ru
A bond portfolio with income in every month — built from 2,700+ Moscow Exchange bonds.
A production web app that builds a diversified bond portfolio with coupon income spread evenly across all 12 months — a combination I didn’t find in any of the 14 competing products I reviewed in mid-2026.
Co-builder · planwealth.ru
A personal-finance planner: budgeting, cash-flow and FIRE projections for Russian-speaking users.
A personal-finance and long-term-planning web app — plan-vs-fact budgeting, cash-flow tracking and financial-independence projections — built to production quality with row-level security across the data model. Deployed and in the final stretch before public launch.
The test I hold myself to: remove the framework names — does the work still sound impressive?
Built internal tooling that takes a dashboard request and produces a generated, validated dashboard end-to-end — cutting routine delivery from days to hours. Analysts review and approve every output; the automation does the routine, humans keep the judgment.
In my products, agent pipelines refresh market data daily, monitor their own failures and publish digests — but every figure a user sees is computed deterministically server-side. LLMs draft and explain; they never invent numbers.
Every automated pipeline ships with validation gates: automated tests, smoke checks against production, and honest failure reporting. If a scraper degrades or an API drifts, the pipeline says so instead of silently shipping stale data.
Happy to walk through the architecture, decision boundaries and failure cases in detail on a call.
Five years across a Big Four firm, a top-tier marketplace, agencies and product teams.
Avito — Russia’s largest marketplace — ranked the world’s #1 classifieds site by Similarweb, ~70M monthly users.
Onpoint — Digital-marketing tech company building omnichannel and e-detailing products for major pharma brands.
Deloitte — One of the Big Four — the world’s largest professional-services and consulting networks.
Bookmaker Ratings — One of the largest Russian-language sports-media and analytics portals — 2M+ monthly users.
Design Technologies — Systems integrator of audio-visual solutions — control rooms, conference halls and VR training simulators.
Akmetron — Engineering firm supplying test-and-measurement instrumentation since 2012.
Financial University, Moscow
Data Analyst — Yandex Practicum · 2022
DWH Analyst — OTUS · 2023
Statistics — Stepik · 2021
Russian — native · English — professional working proficiency
I’m a data analyst based in Belgrade, Serbia. By day I run analytics for Avito Auto; evenings and weekends I design and ship my own fintech products — from the first sketch to production monitoring.
I like the full loop: understanding a messy question, shaping the data, building the tool, and watching real people use it. That habit of shipping end-to-end is also why AI-assisted engineering clicked for me early — I use it as leverage with validation, not as a shortcut.
Russian is my native language, English is my working one. I work best with teams that value ownership and honest, decision-ready analysis.
Open to senior BI / data analyst and analytics engineering roles — remote across Europe (contractor / EOR) or hybrid in Belgrade.
denissl200423@gmail.com