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Едуард
Data analyst
- Considering positions:
- Data analyst, Business analyst, Financial analyst, Market analyst, Market research analyst, Investment analyst
- Age:
- 20 years
- City of residence:
- Lviv
- Ready to work:
- Lviv, Remote
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EDUARD KOVALSKYI
DATA ANALYST
Lviv, Ukraine | Open to remote opportunities | Can work during blackouts
[open contact info ](look above in the "contact info" section) | [open contact info ](look above in the "contact info" section)
Telegram | Linkedin
Github | Tableau portfolio
SUMMARY
Data Analyst with hands-on experience in SQL, Python, Tableau and Excel across five
portfolio projects. Analyzed 350,000 e-commerce session records, built interactive
dashboards and evaluated A/B tests. Applied critical thinking to identify misleading statistical
patterns and improve analytical methods in financial research. Experienced in financial
market data analysis, including CFTC positioning, options open interest (OI), gamma exposure
(GEX), gamma regimes and ETF flows. Familiar with Customer Support operational KPIs.
Upper-Intermediate English proficiency for workplace communication and technical
documentation. Currently pursuing a bachelor’s degree in Business Economics.
TECHNICAL SKILLS
Spreadsheets: Pivot Tables, Power Query, Data Cleaning, Visualization
SQL: Google BigQuery, Joins, Common Table Expressions (CTEs), Window Functions,
Aggregations, Data Validation
Python: Pandas, NumPy, SciPy, Statsmodels, Matplotlib, Seaborn, Exploratory Data
Analysis (EDA)
Tableau: Interactive Dashboards, Data Visualization, KPI Reporting
Statistics: Hypothesis Testing, Correlation, Distributions, Probability
Analytics: Cohort Retention Analysis, Customer Segmentation, A/B Test Analysis
Other Tools: Git, Jupyter Notebook, Visual Studio Code
Languages: English (B2+, Upper-Intermediate), Ukrainian (Native)
PROFESSIONAL EXPERIENCE | PROJECTS | Apr 2026 - Oct 2026
E-commerce Business Performance Analysis
SQL / BigQuery, Python, Tableau
Analyzed 350,000 session records to evaluate revenue, acquisition channels and
customer behavior; built two interactive dashboards.
Business metrics dashboard | Products and customers dashboard
EDUARD KOVALSKYI 1
E-commerce Metrics and Delivery Analysis
SQL / BigQuery, Tableau
Developed seven SQL scripts and a Tableau dashboard to assess revenue, cohort
retention and delivery performance across Brazilian states.
Interactive dashboard
E-commerce A/B Test Analysis
SQL / BigQuery, Python, Statsmodels, Tableau
Compared four metrics across four A/B tests using two-proportion z-tests; built two
dashboards to report group differences and statistical significance.
Statistical significance dashboard | AB Test Metrics Dashboard
ETF Flows vs. Gold Returns
Python, exploratory data analysis, correlation, OLS regression
Investigated whether ETF flows predict subsequent gold returns using correlation analysis
and OLS regression, addressing temporal alignment and overlapping-window bias.
Gold Friday Retracement Research
Python, hypothesis testing, permutation tests
Analyzed 3,975 daily observations using statistical tests and 10,000 permutations;
observed a Friday upward bias but found no significant association between prior weekly
direction and Friday direction.
WORK EXPERIENCE
Independent Financial Markets Trader | Sep 2022 - Present
Analyzed Gold Futures and GER40 market data, identified recurring patterns and applied
structured trading and risk management approaches.
EDUCATION
Lviv Polytechnic National University: Bachelor's Degree in Business Economics (2023 -
Present)
Mate academy: Data Analyst course
MIT course: Introduction to Probability and Statistics (In progress)
EDUARD KOVALSKYI 2
DATA ANALYST
Lviv, Ukraine | Open to remote opportunities | Can work during blackouts
[
Telegram | Linkedin
Github | Tableau portfolio
SUMMARY
Data Analyst with hands-on experience in SQL, Python, Tableau and Excel across five
portfolio projects. Analyzed 350,000 e-commerce session records, built interactive
dashboards and evaluated A/B tests. Applied critical thinking to identify misleading statistical
patterns and improve analytical methods in financial research. Experienced in financial
market data analysis, including CFTC positioning, options open interest (OI), gamma exposure
(GEX), gamma regimes and ETF flows. Familiar with Customer Support operational KPIs.
Upper-Intermediate English proficiency for workplace communication and technical
documentation. Currently pursuing a bachelor’s degree in Business Economics.
TECHNICAL SKILLS
Spreadsheets: Pivot Tables, Power Query, Data Cleaning, Visualization
SQL: Google BigQuery, Joins, Common Table Expressions (CTEs), Window Functions,
Aggregations, Data Validation
Python: Pandas, NumPy, SciPy, Statsmodels, Matplotlib, Seaborn, Exploratory Data
Analysis (EDA)
Tableau: Interactive Dashboards, Data Visualization, KPI Reporting
Statistics: Hypothesis Testing, Correlation, Distributions, Probability
Analytics: Cohort Retention Analysis, Customer Segmentation, A/B Test Analysis
Other Tools: Git, Jupyter Notebook, Visual Studio Code
Languages: English (B2+, Upper-Intermediate), Ukrainian (Native)
PROFESSIONAL EXPERIENCE | PROJECTS | Apr 2026 - Oct 2026
E-commerce Business Performance Analysis
SQL / BigQuery, Python, Tableau
Analyzed 350,000 session records to evaluate revenue, acquisition channels and
customer behavior; built two interactive dashboards.
Business metrics dashboard | Products and customers dashboard
EDUARD KOVALSKYI 1
E-commerce Metrics and Delivery Analysis
SQL / BigQuery, Tableau
Developed seven SQL scripts and a Tableau dashboard to assess revenue, cohort
retention and delivery performance across Brazilian states.
Interactive dashboard
E-commerce A/B Test Analysis
SQL / BigQuery, Python, Statsmodels, Tableau
Compared four metrics across four A/B tests using two-proportion z-tests; built two
dashboards to report group differences and statistical significance.
Statistical significance dashboard | AB Test Metrics Dashboard
ETF Flows vs. Gold Returns
Python, exploratory data analysis, correlation, OLS regression
Investigated whether ETF flows predict subsequent gold returns using correlation analysis
and OLS regression, addressing temporal alignment and overlapping-window bias.
Gold Friday Retracement Research
Python, hypothesis testing, permutation tests
Analyzed 3,975 daily observations using statistical tests and 10,000 permutations;
observed a Friday upward bias but found no significant association between prior weekly
direction and Friday direction.
WORK EXPERIENCE
Independent Financial Markets Trader | Sep 2022 - Present
Analyzed Gold Futures and GER40 market data, identified recurring patterns and applied
structured trading and risk management approaches.
EDUCATION
Lviv Polytechnic National University: Bachelor's Degree in Business Economics (2023 -
Present)
Mate academy: Data Analyst course
MIT course: Introduction to Probability and Statistics (In progress)
EDUARD KOVALSKYI 2
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