Hi there! 👋

I'm a Product Analyst

My dashboards

Here I collected my firts analytical projects

Project	Discribe	Stack
E-Commerce Product Analysis - Project for E-commerce with Python.	Includes: Product analysis, EDA, Cohort analysis, RFM analysis	Pandas, Numpy, Seaborn, Matplotlib
A/B testing a new payment mechanics	Project for e-learning with Python	, Pandas, Numpy, Pingouin, SciPy.stats, Matplotlib, Seaborn, requests, urllib.parse - for loading datasets via API, EDA, methods of statistical analysis: Chi-square (Pearson's criterion), Student’s t-test
Big query with SQL	Complex query to calculate metrics based on data from 3 datasets.	subqueries, join, ClickHouse, Python/pandahouse
Window functions SQL	Queries using window functions	Window functions, Redash
Dashboard in Redash	Dashboard created on the Redash platform using SQL. Provides an overview of the main sales metrics of e-Commerce.	subqueries, filters, grouping, Redash, ClickHouse
Dashboards in Tableau	My data visualization projects in Tableau: * Employee Satisfaction, * Cohort analysis, * What is the salary for an analyst in Russia?,* Profits overview by regions, states, categories	Python

About Me:

I'm a Product Analyst with over 4 years of dedicated experience in data and product analysis, supported by a strong foundation of 5 years in project management with an analytical focus.

I am a confident user of key analytical tools, including advanced SQL, Python, Tableau, and advanced Excel.

As a Data Analyst at an Interbank Processing Center, working across teams, I functioned very much as a Product Analyst for their payment systems. This is where I gained deep experience in core methodologies:

• calculated unit economics for all payment systems and processing modules,
• created dashboards in Power BI using RFM and cohort analysis,
• conducted thorough A/B tests on new payment mechanics, providing data-driven launch recommendations.
• Crucially, I assisted the product team in reducing the number of front-end e-commerce transaction failures by investigating their root causes and providing solutions.

Most recently, as a Product Analyst at an international car parts distributor, my main focus has been partnering directly with Product Managers to drive decisions. My most impactful contribution there was automating our regular reports. For example, I optimized a weekly report, reducing generation time by 80% (from 2 days to 3 hours). I also managed market price monitoring, sales volume prediction, and delivered critical daily and weekly reports on KPIs to the Head of Product. In addition, I collaborated with colleagues from other regions and departments to eliminate bugs in their reports, develop templates for 3 new reports, and assist them with analytical research.

I believe that the right decisions leading to business success stand behind a deep analysis of the correct data

⚒️ Technical Stack

🔎Key competencies

• Unit economics
• Economic analysis
• Statistical analysis
• A/B tests
• Marketing analysis

🎓 Education

🎓 Completed a course and received a passing grade in the Data analyst course of Karpov.courses.

My certificate

Subjects studied:

*    Statistics
*    A/B tests
*    Python
*    SQL
*    Tableau
*    Git
*    Airflow
*    Probability theory 
*    Product analytics  

🎓 High Education

🎓 Marketing in commercial activity - Tomsk State University

Among the subjects studied were:

*    Statistics 
*    Economic analysis 
*    Marketing research   
*    Business economics   
*    Economic theory    
*    Finance, monetary circulation, and credit. 

🏆 Graduated with honors.

🎓 Pharmaceutical specialist - Siberian State Medical University

Among the subjects studied were:

*    Higher mathematics, including probability theory  
*    Organization and economics of pharmacy.

My contacts

📫 tasha.l.swan@gmail.com