Dilara Canefendiç

Angestellt, Data Analyst, Yapı Kredi Teknoloji

Cologne, Deutschland

Über mich

I have over six years of experience in the field of Business Intelligence&Data Analysis, especially in Data Warehouse and Business Intelligence domains. I have deep knowledge on data integration, modeling, lineage and warehousing especially on Oracle DB, Oracle BI platform, SQL Server, Microsoft Power BI and ETL Architecture. With my experience, I am able to analyze and solve the problem through effective communication with different tools and approaches.

Fähigkeiten und Kenntnisse

Data Mining
PL/SQL
SQL
Python
R programming language
Business Intelligence
Data Warehouse
Data Analysis
Data Modelling
Risk Analysis
Marketing Data Analysis
Java
Oracle Data Integrator
ETL
Data Science
Datenintegration
Reporting
Analytics
Database
SQL Server
Microsoft Power BI
Tableau Software
Data visualisation
Business requirements
Data mart
Python pandas
Oracle DB
Communication skills
Scrum Master
Project Management
Consulting
Tableau

Werdegang

Berufserfahrung von Dilara Canefendiç

  • Bis heute 3 Jahre und 9 Monate, seit Sep. 2020

    Data Analyst

    Yapı Kredi Teknoloji

  • 1 Jahr und 2 Monate, Aug. 2019 - Sep. 2020

    Senior Data Engineer

    Definex

    Engaged in an architectural transformation project, focusing on Data Architecture & Governance. Contributed to developing new solutions for the access data layer utilizing Python. Participated in the TDM (Test Data Management) solution process, identifying requirements and executing Proof of Concept (POC) processes. Contributed to developing new solutions for data governance, examining the end-to-end bank data lifecycle and determining solutions for Data Lineage.

  • 2 Jahre und 1 Monat, Juni 2017 - Juni 2019

    Data Analyst

    Accenture

    Understand current and new requirements of business units and develop requirement-gathering documents by working closely with different users. Conducted data modeling for different data domains. Utilized Agile Project Management Methodology throughout project lifecycles. Developed a Big Data environment and implemented a customer scoring system using location data to enhance business insights.

  • 8 Monate, Okt. 2016 - Mai 2017

    Data Scientist

    SBM

    Create a dashboard about insurance benefit for company with use of Phyton ETL development on ODI and The migration from 11G to 12C (ODI) Data preparation activities by ETL development for brand-new reporting requirements.

Ausbildung von Dilara Canefendiç

  • 4 Jahre und 11 Monate, Sep. 2011 - Juli 2016

    Computer Engineering

    Ege University

Sprachen

  • Englisch

    Gut

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