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Olga Smolianinova

Offer Olga work on your next project.

Ukraine Kropivnitskiy, Ukraine
3 months 1 day back
Available for hire available for hire
age 22 years
on the service 8 months 26 days
  • database
  • Data Structures
  • Data mining
  • microsoft excel
  • microsoft powerpoint
  • PowerBI
  • PowerQuery
  • etl
  • Postgre SQL
  • data visualisation
  • data cleaning
  • python
  • Google Sheets
  • Data Analysis
  • Tableu

Rating

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Rating
201
Databases & SQL
303 place out of 1205
Data Processing
326 place out of 1479

Language proficiency level

Українська Українська: fluent
Русский Русский: advanced
English English: intermediate
中文 中文: elementary

Skills and abilities

Programming

Design & art

Services

Portfolio


  • Consumer Loan Portfolio Analysis and Risk Assessment

    Databases & SQL
    Stack: #PostgreeSQL #sqllite , Microsoft #Excel #PowerQuery

    What was done:
    Data Processing ( #etl ): Cleaned and structured a "raw" dataset (German Credit Data) of 1000 records.
    #PostgreeSQL: Wrote a series of queries using CTE, and Case When to segment customers by risk level, age, and loan purpose.
    Excel Modeling: Built an automated table using XLOOKUP and IFS functions to decipher categorical codes. After that, pivot tables were created to calculate the average check and the percentage of defaulted loans by housing conditions and professions.

    An analytical report has been generated that identifies the highest-risk segments of borrowers (for example, young people with education loans), which allows for optimizing credit policy.
  • Superstore Sales Dashboard

    Data Processing
    Interactive dashboard for monitoring retail sales performance

    Data modeling: Converting a "flat" sales table (Superstore #dataset) into a relational model using the "Star" schema (Star Schema), highlighting individual product directories and customers.

    #DAX calculations: Developed a system of business #econometrics (Measures ), including:
    #KPI : Total Revenue, Profit Margin %, Average Order Value.
    Time Intelligence: Comparing sales of the current period with the previous year.

    #visualisation : Created an interactive #DashBoards using cartograms, line graphs, and doughnut #charts . Report Page Tooltips were also used to deeply detail #Statistics for each region without overloading the main screen. A Color Blind Friendly color scheme was used for the dashboard, for better perception of information.

    Result: A management tool was created that allows instantly assess profitability by category and region in real time.
    #PowerBI #Tableau #PowerQuery #DAX #etl