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Anatoliy

Data analyst

Возраст:
42 года
Город:
Ровно

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Malyshevskiy Anatoliy
[открыть контакты](см. выше в блоке «контактная информация») | [открыть контакты](см. выше в блоке «контактная информация») | Linkedin | Telegram| Rivne, Ukraine
SUMMARY

Detail oriented data analyst with experience in data analysis, programming and statistical methods. I know SQL,
Python, Tableau, Looker Studio, Excel and Google Sheets. I am passionate about using data to drive business
success through trend analysis, process optimization, and actionable insights. I have the skills to improve
efficiency and support decision-making through innovative data processing solutions. Participated in 7
commercial projects.

TECHNICAL SKILLS:
SQL (PostgreSQL, BigQuery), Python (NumPy, Pandas,Mathplotlib), Excel, Google Sheets, Tableau, Looker
Studio, PowerBI, Anaconda, Google Colab,

PROJECT MANAGEMENT & COLLABORATION:
Agile, Scrum, Trello, Amplitude, Slack, Teams

TOOLS:
Data Processing: PostgreSQL, BigQuery, DBeaver; Visualization: Tableau, Looker Studio; Project Management:
Trello, Amplitude; Collaboration: Slack, Teams; Development: Anaconda, Google Colab; Version Control: GIT. AL
Integration (GPT)

EDUCATION

IT Academy GoIT Kyiv, Ukraine
Data Analyst 2024
IT School SkillUP Kyiv, Ukraine
QA Manual 2020

RELEVANT WORK EXPERIENCE

Data Analyst | Freelancehunt June 2024 – Present
● Data Collection and Processing: Collection of information and creation of a database on veterinary
services of EU countries. Thanks to which the customer was able to establish relations with buyers and
expand the market for the sale of goods intended for animals to the EU markets.
● Business Process Evaluation: Help and consultation, settings for using the BI tool in the CRM system
(Bitrix24). As a result, the customer can independently create dashboards and reports of little complexity.
And the need to hire a separate data analyst disappeared.
● Made and configured the automation of invoice filling in Google Sheets. What reduced the filling of
invoices by 85%
● Forecasting and Modeling: Use predictive models and algorithms to forecast future trends and market,
consumer, or business performance. I provide the company with accurate forecasts for strategic planning
and proactive decision-making.
● Decision Support: Deliver analytical reports and data-driven recommendations to support decision-making
at all levels of the organization.
● Communication of Results: Communicate analysis results and recommendations with teams, managers,
and stakeholders, ensuring clarity, understanding of the findings, and quick implementation of decisions.

PROJECT EXPERIENCE

Analysis of Game User Activity
Objective: Enhance user engagement and retention for gaming applications.
● Conducted detailed analysis and forecasting of key metrics (DAU, WAU) using Google Sheets to identify
trends and opportunities.
● Performed cohort analysis to track user engagement over time, providing actionable insights for increasing
monthly active users.
● Calculated retention rates and built user funnels to optimize conversion paths, directly contributing to user
growth and retention strategies.

Data cleaning, grouping and creation of a commerce funnel
Objective: Create a commerce funnel and infer user activity at each stage.Using Big Query to create a dataset,
with the aim of its further visualization in a BI tool.
● Calculating statistical data in Tableau Public.
● Designed a dynamic dashboard for cash flow analysis, enabling informed financial decisions.
● Delivered a compelling video presentation to communicate findings, facilitating stakeholder buy-in and
strategic alignment.

Calculation of the main metrics of the advertising company
Objective: Analysis of advertising company.
● Data cleaning and calculation of main metrics (CPC, CTR, CPM, ROMI) using PostregeSQL.
● Visualization of the results of the analysis using Looker Studio

An analysis of game monetization
Objective: Analysis of sources of monetization of the game, as well as providing recommendations to increase
profits.
● Studying the game for monetization, sources of monetization.
● Analysis of the results and recommendations for increasing the monetization of the game

OTHER WORK EXPERIENCE

Rivne Nature Reservate June 2004 – Present
Key Achievements:
● Setting up the automation of reporting to the central office of the enterprise, which reduced the reporting
time by up to 80%. It also reduced the likelihood of errors when compiling reports.
● Creation of technical documentation of the department based on Exel and Google Sheets, which
simplified the process of writing reports and their subsequent analysis
● Developed and implemented a new method for calculating performance targets, reducing the process
from 1 week to 1 day. This tool was successfully adopted by all company branches and the central office.

OTHER EDUCATION

National University of life and Environmental Sciences of Ukraine Kyiv, Ukraine
Bachelor’s Degree in Forestry 2006

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