Victoria Khakhomova

Selbstständig, Data Analytics, Civitta

Wuppertal, Deutschland

Über mich

Thorough and meticulous data analyst with 5+ years of experience passionate about helping businesses succeeds. Recipient of a Master's degree in Applied Computer Data Analysis & Innovation Management. Possessing strong technical skills rooted in substantial training as an engineer.

Fähigkeiten und Kenntnisse

R
R programming language
Python
Selenium
Python pandas
SQL
PostgreSQL
MySQL
Business Intelligence
Big Data
Database
SQL Server
Alteryx
Data visualisation
Tableau Software
Grafana
Reporting
ETL
Google Analytics
Microsoft Power BI
Data Science
Analytics
Data Analysis
Business Analytics
Data Modeling
Probability
MS Office
Time Management
Critical thinking / problem solving
Teamwork
Self-Awareness

Werdegang

Berufserfahrung von Victoria Khakhomova

  • Bis heute 2 Jahre und 4 Monate, seit Feb. 2022

    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

    Fließend

  • Deutsch

    Gut

  • Belarussian

    Muttersprache

  • Russisch

    Muttersprache

  • Ukranian

    Fließend

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