Максим

Maksim Herasimov JUNIOR DATA ANALYST

CONTACTS Phone: [відкрити контакти](див. вище в блоці «контактна інформація») Location: Kyiv, Ukraine
Email: [відкрити контакти](див. вище в блоці «контактна інформація») Linkedin: Maksim Herasimov

SUMMARY Junior Data Analyst specializing in data visualization, dashboard design, and performance
analytics. Experienced in SQL, Python (Pandas, NumPy), Excel, Tableau, and Looker Studio, with
strong skills in creating clear, branded, and user-friendly reports. I am skilled in A/B testing,
research data analysis, and workflow optimization. I am able to transform complex data into
practical insights and present the results in a compelling visual report. I strive to support business
teams by offering effective data-driven solutions.

HARD SKILLS SQL: writing complex queries, aggregation, optimization
Python: data processing and analysis
Data Visualization: creating interactive dashboards
Excel: formulas, pivot tables, dashboards, report automation
Data Preparation: data collection, cleansing, transformation, and integration
Analytics: statistical analysis, funnels, cohort analysis, marketing analytics
A/B Testing frameworks, Data preprocessing tools

TOOLS Google BigQuery, PostgreSQL, DBeaver
Pandas, NumPy, Jupyter Notebook
Tableau, Power BI, Looker Studio
Microsoft Excel, Google Sheets

PROJECT Ecommerce Analytics Lab
EXPERIENCE Tools: PostgreSQL, DBeaver, BigQuery, SQL, Looker Studio
Description: Developed dashboards for analyzing marketing campaigns and user behavior in GA4,
combining SQL processing with BI visualization.
My tasks: Include Preparing data in SQL, building funnels, and creating interactive dashboards to
evaluate campaign effectiveness.
Result: Identified key patterns in user behavior, which allowed me to form recommendations for
conversion growth.
Coffee sales dashboard
Tools: BigQuery, SQL, Tableau Public
Description: Created an interactive dashboard for analyzing coffee sales based on transactional
data, with a focus on buyer behavior and key financial indicators.
My tasks: Developed SQL queries for data aggregation, built visualizations in Tableau, and
optimized UX through interactive filters.
Result: Identified the most profitable coffee types and peak sales periods, which allowed me to
form recommendations for increasing revenue and optimizing the product range.

WORK Logistics company “Kent Tour” | August 2023-now
EXPERIENCE Logistics Specialist / Manager
Automated work with Google Sheets, set up conditional formatting, and pivot tables
for fast teamwork.
Set up remote teamwork for exceptional cases.

EDUCATION IT School "GoIT" | 2025
Data Analysis
Donetsk National University of Economics and Trade
named after M. Tugan-Baranovsky | 2016-2019
Finance and credit

LANGUAGES English - Elementary
Ukrainian - Native