A/B Testing for Data Analysts
From hypothesis to decision: sample size, z-test in Python, p-value interpretation and the mistakes that invalidate tests.
I'm Data Analyst
Data Analyst | Open to work
Data Analyst with experience in analyzing complex datasets and transforming data into actionable insights. Proficient in Excel, Google Sheets, SQL, and basic Python (Pandas, NumPy), with hands-on experience in data visualization using Looker, Tableau, and Power BI. Motivated to grow in data analytics and support data-driven decision-making.
Skills of working with data at all stages: collection, cleaning, analysis, visualization and automation of reporting using SQL, Python and BI tools.
A data analyst who combines management experience and technical skills to make decisions based on data
Data Analysis
Organizational Management
Integration of management skills with sales analytics and forecasting
Management
Management of business processes and the team based on data analysis
"EPICENTR K" LLC
Achievements: career growth - from an intern to a senior salesperson in less than a year, which confirms the ability to quickly adapt, learn and deliver results
"POLTAVAOBLENERGO" JSC
Practical projects on data analysis, construction of KPI-dashboards and automation of reporting in SQL and Python.
Need help with data processing and analysis, dashboard building, and automated reporting to support business decisions? Contact me!
Configuring data flows from internal databases (SQL), external services via APIs and websites. Creating a single repository of information from all available sources.
Quality check, removal of duplicates and correction of errors in data sets. Bringing disparate information into a single format suitable for correct analysis.
Calculating key performance indicators (KPIs), finding hidden patterns, and testing business hypotheses. Transforming numbers into concrete conclusions about the causes of business changes.
Development of interactive dashboards and graphs that clearly reflect the state of affairs. Creation of tools for quick visual monitoring of processes in real time.
Preparation of regular analytical reports and presentations with clear recommendations for management. Adaptation of complex technical conclusions to the requests of the business customer.
Creating scripts and systems for automatic report updates without human intervention. Setting up instant notifications about critical changes in indicators.
Thoughts on data analytics, SQL, Python and BI tools — practical insights from real projects.
From hypothesis to decision: sample size, z-test in Python, p-value interpretation and the mistakes that invalidate tests.
ROW_NUMBER, RANK, LAG, running totals and moving averages — every window function an analyst needs with real use cases.
Pricing, features and learning curve compared — practical guide to choosing the right BI tool for your workflow.
I am open to work. Feel free to get in touch with me.