Роберт

ROBERT SHULEHIN
J U N I OR D A T A A N A L Y S T
Phone: [open contact info](look above in the "contact info" section) Address: Odessa, Ukraine
Email: [open contact info](look above in the "contact info" section) Linkedin: [open contact info](look above in the "contact info" section)

SUMMARY
Data Analyst with a product-oriented mindset, dedicated to helping businesses make data-driven decisions. I
transform raw data into actionable insights, clear visualizations, and executive-ready BI dashboards.

Specializing in SQL (PostgreSQL, BigQuery), data analysis with Python, and executing end-to-end A/B tests
—from experimental design to interpreting results.

Experienced in product analytics: working with conversion funnels, retention tracking, and user behavior
analysis (Amplitude), as well as developing interactive dashboards in Tableau.

SKILLS
Product Analytics:
Amplitude, Funnel analysis, CJM, Tracking plans, Product metrics (DAU, MAU, Conversion, Retention
Rate, Product Onboarding)
Data Analysis & Experimentation:
A/B Testing (design, statistical power, hypothesis testing), Cohort analysis, Segmentation, Statistical
analysis (Python: Pandas, NumPy, SciPy, Jupyter Notebook)
SQL & Data:
Advanced SQL (PostgreSQL, BigQuery): CTEs, Window functions, Subqueries, Regex
BI & Visualization:
Tableau (LOD expressions, Calculated fields, Interactive Dashboards), Excel, Google Sheets, Matplotlib,
Seaborn
Metrics & Business:
Unit Economics (LTV, CAC, Profit optimization), Revenue trees & business metrics
Tools & Engineering:
Git (version control), Data pipelines, API integration (JSON parsing)

PROJECT EXPERIENCE
User Retention & Cohort Analysis Framework

Developed an end-to-end analytical framework using complex PostgreSQL CTEs, date-normalization
regex, and interval offsets to process raw user activity logs.
Segmented user cohorts into Organic Traffic vs. Paid Promo Campaigns to evaluate long-term retention
intensity and identify behavior patterns.
Discovered that organic users achieve a strong 83–87% short-term retention, while promo-acquired
users churn twice as fast, dropping to 9–18% by Month 4.
Formulated actionable business recommendations to shift marketing budgets toward high-intent
channels and restructure sign-up milestone incentives.

Global Developer Demographics & Compensation Analysis

Developed a Python script for comprehensive Exploratory Data Analysis (EDA) of a global dataset to
investigate the relationship between compensation levels and demographic factors.
Executed data preprocessing and cleaning using Pandas, handling missing values, normalizing data
types, filtering anomalies, and encoding categorical features to ensure calculation accuracy.
Uncovered key statistical patterns in developer salary distributions based on remote work status, years of
experience, industry sectors, and technology stacks.
Implemented multi-level data filtering, grouping, and aggregation techniques in Pandas to calculate
precise quantiles and average benchmarks across the IT market.
WORK EXPERIENCE
Crypto Community Manager & Content Analyst | Oct 2023 – Present
Freelance / Self-employed
Analyze cryptocurrency market trends, on-chain data, and regulatory updates to produce actionable
insights for Telegram communities.
Transform complex market data into structured content: daily news, trade ideas, and analytical posts.
Track and optimize key metrics: engagement rate, retention, and post reach.
Improve content strategy through data-driven experimentation and audience behavior analysis.
Result: Built and scaled an active crypto community with growing engagement and consistent audience
retention.
Sales & Travel Consultant | Jul 2022 – Sep 2023
"Poekhali s nami"
Managed end-to-end sales process and designed customized travel itineraries (Turkey, Egypt,
Europe).
Analyzed pricing, seasonality, and tour operator offers to select optimal, cost-effective solutions.
Optimized travel routes (flights, hotels, excursions) based on client constraints and budget.
Worked with CRM data and tracked conversion metrics to improve sales performance.
Result: Achieved stable sales performance and high customer retention rates through a personalized,
data-backed approach.

Data Mapping Specialist / Logistics Analyst | Sep 2021 – Jun 2022
JSC HARTRON
Worked with large-scale geospatial and infrastructure datasets for city drainage systems.
Mapped and validated data for pipelines, junctions, and residential connections across multiple
districts.
Ensured data accuracy and consistency between physical infrastructure and digital records.
Collaborated with engineering teams to support system modernization.
Result: Delivered accurate and complete infrastructure data, enabling seamless execution of city-wide
modernization projects.

EDUCATION
IT SChool | "GoIT" | 2025 - 2026
Data Analysis
KO. M. Beketov National University of Urban Economy in Kharkiv | 2021 - 2023
Tourism | Master
Kharkiv National University of Construction and Architecture | 2017 - 2021
Civil Engineering | Bachelor

LANGUAGES
English — Intermediate

Ukrainian — Native

Russian — Native