Olha Kushch

Data Analyst at hotline.finance
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Contact Information
us****@****om
(386) 825-5501
Location
Kyiv, Kyiv City, Ukraine, UA
Languages
  • Украинский Native or bilingual proficiency
  • Русский Native or bilingual proficiency
  • Английский Elementary proficiency

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Bio

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Credentials

  • IT Switch
    GlobalLogic
    Aug, 2022
    - Nov, 2024

Experience

  • hotline.finance
    • Ukraine
    • Insurance
    • 1 - 100 Employee
    • Data Analyst
      • Jan 2023 - Present

      Development and support of the data platform. Building analytics from scratch (architecture creation and full automation of processes (using gcp)). Work with google ads, Facebook, admitad, google analytics. The full cycle of creating dashboards (from 0, from prototyping to implementation and support, automation and upgrade); Calculation of client metrics LTV, ARPPU/ARPU, MAU, DAU, CAC/CPA (for app and web). Development and support of the data platform. Building analytics from scratch (architecture creation and full automation of processes (using gcp)). Work with google ads, Facebook, admitad, google analytics. The full cycle of creating dashboards (from 0, from prototyping to implementation and support, automation and upgrade); Calculation of client metrics LTV, ARPPU/ARPU, MAU, DAU, CAC/CPA (for app and web).

  • Фора
    • Ukraine
    • Retail
    • 100 - 200 Employee
    • Inventory Analyst
      • Mar 2022 - Dec 2022

      Report automation (using Python (Numpy, Pandas, Pyodbc), R (dplyr, tidyr, plotly), SQL). Report automation (using Python (Numpy, Pandas, Pyodbc), R (dplyr, tidyr, plotly), SQL).

  • Fozzy Group
    • Ukraine
    • Retail
    • 700 & Above Employee
    • Data analyst
      • Jan 2021 - Mar 2022

      • Traffic forecast (calls, letters, chats) by month, day, hour, 15 minutes. Calculation of the required number of staff. • Development of various reports (Using Power Query, DAX, Excel, Power Pivot, Zendesk, Power BI, SQL). • Monthly reports (calculation of operators' salaries (according to KPI), key indicators of Call Center, etc.). • Traffic forecast (calls, letters, chats) by month, day, hour, 15 minutes. Calculation of the required number of staff. • Development of various reports (Using Power Query, DAX, Excel, Power Pivot, Zendesk, Power BI, SQL). • Monthly reports (calculation of operators' salaries (according to KPI), key indicators of Call Center, etc.).

  • V. Bakul Institute for Superhard Materials NAS Ukrainian
    • Киев, Украина
    • Engineer
      • Nov 2019 - Jan 2021

  • Zaporizhzhya National University
    • Higher Education
    • 1 - 100 Employee
    • Engineer
      • Sep 2018 - Sep 2019

  • Zaporizhzhya secondary school №69
    • Запорожье, Запорожская область, Украина
    • Physics teacher
      • Oct 2016 - Oct 2017

Education

  • V. Bakul Institute for Superhard Materials NAS Ukrainian
    Doctor of Philosophy - Ph.D. in Tech, Materials since
    2019 -
  • National University of Zaporizhia
    Магистр, Учитель физики, астрономии и информатики
    2017 - 2019
  • National University of Zaporizhia
    Магистр, Металловедение и термическая обработка
    2013 - 2019

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