
Victoria Khakhomova
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Victoria Khakhomova
- Bis heute 2 Jahre und 1 Monat, seit Apr. 2024
Product Analyst
Wallet (Telegram)
‒ development and automation of processes for collecting, storing, and processing information to ensure compliance with regulatory requirements ‒ analysis for identifying and assessing risks associated with compliance, as well as developing recommendations for minimizing risks ‒ work with large and complex data sets to solve challenging problems using analytical and statistical approaches ‒ data visualization and report creation for internal and external audits ‒ use ML techniques to help business growing
- 1 Jahr und 11 Monate, Feb. 2022 - Dez. 2023
Data Analytics
Civitta
SELECTED EXPERIENCE • DEVELOPMENT CUSTOMER LIFETIME VALUE TOOL |LITHUANIA| ‒ Review of probability models ‒ Development CLV models for different settings (Contractual, Noncontractual, Discrete / Continuous) – using R. ‒ Applying scripts to help solve business problems (Insurance, Telecommunications, Real Estate, etc.)
- 1 Jahr und 3 Monate, Dez. 2020 - Feb. 2022
Data Analyst
Delivery Technologies
‒ Development probability models for different needs - using R ‒ Internal client segmentation (based on collected data) to learn more about customer behavior – using R ‒ Marketing, Logistics and Financial data queries in PostgreSQL ‒ Automate the process of collecting competitor prices from different web sites – using Selenium Python ‒ Creating automate monthly reports for company and clients (restaurants, shops, etc.) – using R/Excel ‒ Creating data visualization of company key metrics – Grafana/Tableau
- 3 Jahre und 2 Monate, Nov. 2017 - Dez. 2020
Data Analytics Consultant
Civitta
SELECTED PROJECT EXPERIENCE (more than 10 projects in different areas) • BANK CLIENTS SEGMENTATION |BELARUS| ‒ External segmentation in banking services market (based on online-survey). Development dynamic RFM model using 30-day rolling windows to derive monthly RFM scores • CLEANSING CRM SYSTEM |ACCOUNTOR|FINLAND| ‒ Accessing customer data from various internal and external data sources – SQL ‒ Creating customer data cleansing methodology, helping with defining step by step cleansing process etc.
Sprachen
Englisch
C1 (Fließend)
Deutsch
B1-B2 (Gute Kenntnisse)
Belarussian
C2 (Verhandlungssicher / Muttersprachlich)
Russisch
C2 (Verhandlungssicher / Muttersprachlich)
Ukranian
C1 (Fließend)
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