Марина

MARYNA SYDORENKO
D A T A A N A L Y S T

PROFILE
Motivated Data Analyst with a solid understanding of SQL, Python, skilled in
Tableau, different visualization tools, with experience working with different
types of data. Excited to continue growing my skills and contribute to
CONTACTS innovative projects in a collaborative setting.

Phone: [відкрити контакти](див. вище в блоці «контактна інформація»)
Telegram WORK EXPERIENCE
E-mail: [відкрити контакти](див. вище в блоці «контактна інформація»)
Data Analyst 2024-2025
LinkedIn: Maryna Sydorenko
work with datasets (BigQuery), using SQL - working with
Odesa, Ukraine (remote, relocate) pivot tables, Google Sheets, creating visualization with
LookerStudio, Tableau, Python,A/B Testing
EDUCATION Projects:
User Account Analysis (SQL Project, Looker) - analyze the dynamics
1998 - 2003 of created accounts, the activity of users behind sheets (distribution,
BACHELOR OF HISTORY AND LAW posting, transitions), and evaluate behavior in categories such as the
Sukhomlynskyi Mykolaiv distribution interval, account verification, and subscription status. Link
National University
Sales Analysis (Python, Tableau Projects) – working with online -
2025 shop sales metrics, statistical tests . Link
DATA ANALYST
Mate academy Analysis of the trading company's activities (GoogleSheet, Pivot
Tables, Visualisation) Link

SKILLS Logistics manager
Metr+ Company (Children’s Goods and Toys) 2019-2024
Spreadsheets: Pivot Tables, Data
Responsibilities:
Cleaning, Visualization Organizing orders, deliveries, and purchases for the online store
MS Office Excel, 1C Concluding contracts with carriers for the most efficient delivery
Participating in the automation of the processes of dispatching
SQL: Advanced Queries, Window
orders, which contributed to an increase of shipments by 2.5 times
Functions, Query Optimization,
Main specialist of Logistics and Purchase Department 2015-2019
Common Table Expressions Spaitech LLC( Development and Manufacturing of UAV Systems )
(CTE) Responsibilities:
Python: Pandas, NumPy, Built warehouse inventory system for stock control.
Created supplier and carrier databases.
Matplotlib, Seaborn, Exploratory
Implemented procurement and logistics workflows.
Data Analysis (EDA) Established supplier management processes.
Tableau: Interactive Managed import/export and customs.
Analyzed supply levels for production needs.
Dashboards, Data Storytelling,
Supported procurement and stock replenishment.
Publishing Statistics: Sampling, Optimized warehouse and logistics operations.
Hypothesis Testing, Correlation, Contributed to integrated inventory-accounting system.

Statistical Significance
A/B Testing: Planning, Analysis, ACHIEVEMENTS
Reporting
Winner of Regional Olympiad in History, 1996 - 1997
Other Tools: Trello, Google Volunteer for the Ukrainian Army, 2022 - 2023
Analytics, Excel, Git 400 + Algorithmic Tasks solved during the last 2 months
English (Upper-Intermediate)