Mikhail

MIKHAIL DEULIN
Junior Data Analyst | SQL & Dashboard Reporting

Location: Ukraine (Remote, open to EU) Email: [відкрити контакти](див. вище в блоці «контактна інформація») Telegram: @AgentLenky GitHub: github.com/AgentLenky

ADVANTAGES ABOUT ME

SQL-First Analysis: Write and structure Junior data analyst with hands-on SQL experience, focused on turning raw transactional data into
SQL queries end-to-end, from raw structured, decision-ready reporting. Built a complete analysis pipeline — from SQL querying through
transactional data to summary-level dashboarding to written recommendations — on an independent e-commerce sales project, alongside
reporting tables. two years of applied research experience in data collection, structuring, and market-pattern analysis.
Comfortable working the full analysis cycle independently: query writing, data-quality QA,
Full Analysis Cycle: Comfortable owning a
project from data cleaning through visualization, and business-facing conclusions.
dashboarding to written business
recommendations.

QA Mindset: Background in systematic QA EXPERIENCE & PROJECTS
testing means careful validation of data
DATA ANALYTICS EXPERIENCE
quality and edge cases before reporting
numbers. E-commerce Sales Analysis | Independent Data Analytics Project
SQL · Looker Studio | August 2026 – Present · Project: github.com/AgentLenky/ecommerce-sql-
AI-Assisted Workflow: Use modern AI sales-analysis
tooling to speed up exploratory analysis and Queried and analyzed a 5,000-row e-commerce transactions dataset in SQL: KPIs, monthly trends,
documentation without cutting corners on category and regional breakdowns, discount and payment-method impact, and customer-level
review. patterns.
Identified and documented key findings — incl. a near-zero repeat-purchase rate and a category-
level margin gap — supported by cross-table analysis rather than single-metric reads.

Built an interactive Looker Studio dashboard visualizing margin, average check, regional share,
SKILLS & TECH STACK and category profit.
QUERYING & ANALYSIS Delivered a structured report with insights and recommendations after every data section.
SQL, Data Cleaning, Statistical Summaries
Data Annotator (ML Data Annotation & QA) | Keylabs.io
BI & VISUALIZATION
Commercial Experience | August – October 2026
Looker Studio, Excel, Google Sheets,
Dashboard Design Data Preprocessing & Annotation: Processed and annotated high-resolution visual datasets
(2D images & video frames) for training Computer Vision and AI models.
DATABASES
Quality Assurance & Validation: Maintained high accuracy and compliance with strict technical
PostgreSQL, Supabase, Relational Schema
guidelines, performing data QA to ensure zero-defect datasets for ML pipelines.
Basics
Tooling & Techniques: Executed object tracking, bounding boxes, polygons, and semantic
TOOLS segmentation using the Keylabs platform infrastructure.
Git, GitHub, AI Tools, Manual QA Testing
Data Researcher & Analyst | Junior Academy of Sciences of Ukraine
(JAS/MAN)
Academic & Research Direction | Two research cycles: Oct 2024–Apr 2025 and Oct 2025–Apr 2026

EDUCATION Data Collection: Gathered, cleaned, and aggregated datasets on crypto markets and Smart
Money Concepts (SMC) patterns.
Secondary General Education
Completed — Mathematics & Informatics Structuring & Analysis: Converted raw data into structured analytical frameworks, identifying
track key market patterns and metrics.

Higher Education Outcome: Developed a research methodology and successfully defended the project at the
Enrolled / Incoming Student — Finance & regional competition stage.
Banking
Web3 & Crypto Research / Data Entry | Analytical Direction
Oct 2024 – mid-2026 (ongoing part-time alongside other activities)

Monitored crypto exchange activity, market trends, and on-chain wallet movements.
LANGUAGES Verified and structured incoming data in Google Sheets / Excel for recurring reporting.

Ukrainian: Native Evaluated risk levels using SMC-based models and performed QA checks on data pipelines.

Russian: Native / Fluent

English: B2 (Upper-Intermediate) ADDITIONAL EXPERIENCE

Esports Commentary & Audience Analytics — Independent | 2023–2025
Live commentary for professional esports matches; tracked audience engagement and retention metrics to
guide content strategy.

SporX_Multiverse — System & Data Architecture, Full-Stack Project | Jun–Aug 2026
Designed a PostgreSQL schema and backend logic for a Telegram Mini App; modeled in-project economics and
ran end-to-end QA testing.