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Ivan Kostov

Product Analyst

Ivan Kostov
Berlin, Germany

Experience

Mar 2021 - May 2024
3 years 3 months

Product Analyst

Sentryc GmbH

  • Led data analytics projects, including data mining, exploratory research, A/B testing, KPI definition, and result interpretation
  • Had a key role in scope and requirements definition of new features, creation of user flows, proof of concepts creation, and client personas establishment
  • Initiated a data project related to clustering counterfeit listings based on language similarities, which was projected to reduce internal costs by 20%
  • Led data migration project from Zoho Analytics to Power BI as well as from Google Analytics to Piwik
Apr 2020 - Mar 2022
2 years

Customer Success Manager

Sentryc GmbH

  • Represented major clients, delivering data analysis and optimizing brand monitoring software
  • Developed a data analytics dashboard, improving KPI monitoring for the Customer Success team
  • Created a Customer Satisfaction Score system, reducing churn by over 10%
Apr 2019 - Mar 2020
1 year

Working Student Operations Research

Wefox GmbH

  • Analyzed and mapped contract clauses to CRM automation rules for digital contract enrichment

Skills

  • Sql
  • Gcp / Bigquery
  • Python
  • Hotjar / Piwik
  • Power Bi / Zoho Analytics
  • Github / Confluence
  • Ml Flow / Prefect / Artifact Registry
  • Google Workspace / Microsoft Office
  • Docker / Fastapi / Streamlit

Languages

Bulgarian
Native
German
Advanced
English
Advanced
French
Elementary

Education

Oct 2021 - Jun 2024

FOM Berlin

Master of Science in Big Data & Business Analytics · Big Data & Business Analytics · Berlin, Germany

Oct 2014 - Jun 2018

Humboldt University of Berlin

Bachelor of Science in Economics · Economics · Berlin, Germany

Profile

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Ivan based?

Ivan is based in Berlin, Germany.

What languages does Ivan speak?

Ivan speaks the following languages: Bulgarian (Native), German (Advanced), English (Advanced), French (Elementary).

How many years of experience does Ivan have?

Ivan has at least 5 years of experience. During this time, Ivan has worked in at least 3 different roles and for 2 different companies. The average length of individual experience is 1 year and 8 months. Note that Ivan may not have shared all experience and actually has more experience.

What roles would Ivan be best suited for?

Based on recent experience, Ivan would be well-suited for roles such as: Product Analyst, Customer Success Manager, Working Student Operations Research.

What is Ivan's latest experience?

Ivan's most recent position is Product Analyst at Sentryc GmbH.

What companies has Ivan worked for in recent years?

In recent years, Ivan has worked for Sentryc GmbH.

Which industries is Ivan most experienced in?

Ivan is most experienced in industries like Information Technology (IT) and Insurance.

Which business areas is Ivan most experienced in?

Ivan is most experienced in business areas like Business Intelligence, Product Development, and Project Management. Ivan also has some experience in Customer Service, Information Technology (IT), and Operations.

What is Ivan's education?

Ivan holds a Master in Big Data & Business Analytics from FOM Berlin and a Bachelor in Economics from Humboldt University of Berlin.

What is the availability of Ivan?

Ivan is immediately available part-time for suitable projects.

What is the rate of Ivan?

Ivan's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.

How to hire Ivan?

To hire Ivan, click the Meet button on the profile to request a meeting and discuss your project needs.

Average rates for similar positions

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Market avg: 790-950 €
The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.
Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.