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Danylo
Mingazov
Data Analyst

About Me Experience
Motivated DA with a solid understanding Data Analyst
of SQL, Python, Excel. Worked on analys of
different datas. Proficient in English, with Project: Email Campaign Performance Analysis for E-commerce
experience applying agile methodologies Project Scope:
in team environments. Excited to continue Analyzed the effectiveness of marketing email campaigns (open rates,
growing my skills and contribute to CTR, purchase conversion) for a fashion e-commerce platform with
innovative projects in a collaborative 500K+ monthly users.
setting. Successfully managed a lot of Key Responsibilities:
large Discord communities as a Built an ETL pipeline in BigQuery, integrating 15+ data sources (Google
moderator, administrator, mentor. Analytics, ESP, CRM), designed Looker Studio dashboards to track KPIs for
Created 20+ of dashboards for the different campaign types, and identified optimal email frequency
analysis department, making data (2/week) through cohort analysis.
analysis easier. Link to review

Project: Homepage A/B Testing for Conversion Optimization
Contacts Project Scope:
Led conversion rate optimization by testing 4 design variants of an online
[открыть контакты](см. выше в блоке «контактная информация») store’s homepage, impacting 1.2M monthly sessions.
Key Responsibilities:
[открыть контакты](см. выше в блоке «контактная информация»)
Designed test parameters (sample size calculation, duration,
Odesa primary/secondary metrics), configured event tracking in Google
Analytics 4, performed statistical analysis (p-values, confidence
intervals, segment breakdowns), Automated reporting with Python-
Skills based ETL pipelines, and visualized results in Tableau with device/geo
filters.
Spreadsheets: Pivot Tables, Data
Cleaning, Visualization Outcome:
SQL: Advanced Queries, Window Implemented winning variant with 15% higher registration rate.
Functions, Query Optimization, Common Colab link | Tableau link
Table Expressions (CTE)
Python: Pandas, NumPy, Matplotlib, Project: Sales Anomaly Detection System
Seaborn, Exploratory Data Analysis (EDA) Project Scope:
Tableau: Interactive Dashboards, Data Developed a monitoring system to detect fraud, technical errors, and
Storytelling, Publishing seasonal spikes across 50+ online stores.
Statistics: Sampling, Hypothesis Testing, Key Responsibilities:
Correlation, Statistical Significance Cleaned raw transaction data (handled missing values, outliers),
A/B Testing: Planning, Analysis, Reporting implemented statistical models (z-scores, IQR, clustering), Automated
Other Tools: Jupyter Notebooks, Google anomaly alerts using Python, created interactive Tableau dashboards
Analytics, Excel, Git with regional, platform, etc filters.
English – Upper-Intermediate Technical Depth:
Tools: BigQuery, GA4, Tableau, Python
Education Methods: ETL, statistical testing, cohort analysis
Business Context: included scale (500K users, 3 months), decision-
H.S. SKOVORODA KHARKIV NATIONAL making impact
PEDAGOGICAL UNIVERSITY | LAW Colab link | Tableau link
DATA ANALYST COURSE AT
MATE ACADEMY