Personal Information

Address : Bergamo-Lombardia-Italy
Email & Skype :
Driving Licence : B

Education

Joint PhD in Applied Economics and Management (AEM)
University of Bergamo & Pavia (Italy), Sept 2017 - Feb 2022

Master in Finance
University of Siena (Italy), Nov 2013 - June 2016

Bachelor Degree in Physics
University of Istanbul (Turkey), Fall 2006 - Spring 2010

Experiences

Associate Advanced Analytics Analyst - Power BI Developer,
Mozarc Medical, Milan (Italy), Sep 2023 - Current.
  • Assist in collecting, cleaning, and analyzing large datasets to identify trends, patterns, and insights.
  • Develop visually appealing dashboards and reports using Power BI, Power Pivot, and DAX.
  • Work closely with cross-functional teams to understand their analytical needs and provide insights.
  • Develop data-driven strategies and recommendations to support business growth and efficiency.
  • Ensure data quality and integrity by conducting data validation and cleansing.
  • Help maintain data repositories.
  • Implement data governance practices to ensure accuracy, consistency, and security.
  • Collaborate effectively with team members across various departments.
  • Communicate analytical findings, methodologies, and recommendations to stakeholders.
Assistant - Market Research,
MPS - Evolving Marketing Research, Bergamo (Italy), April 2023- July 2023.
  • Prepare market research survey.
  • Analyze and report market research outcomes, using Quantum Software.
Researcher - Statistics,
University of Bergamo & Pavia (Italy), Sept 2017- Feb 2022.
  • Manipulate and analyze large datasets to identify trends, patterns, and insights.
  • Develop and implement machine learning models and algorithms, using R and Python.
  • Adopt new tools, technologies, and methodologies to enhance the model outcomes.
  • Create interactive user faces (such as R Shiny, HTML) to report the findings.
Intern - Portfolio,
Ziraat Portfolio (Turkey), Jan 2016 - Sept 2016.
  • Observe equity.
  • Be familiar with behavioral finance.
  • Create a statistical model to maximize the portfolio‘s return, using VBA.
  • Prove the model efficiency by tracking the data.
Intern - Portfolio,
Invest-AZ (Turkey), Nov 2015 - Dec 2015.
  • Analyze listed companies by looking at their financial statements.
  • Create reports to drive data-driven decision making for investors.
Intern - Accounted,
Varkan Group (Turkey), Sept 2012 - Dec 2012.
  • Record accounting cycle.
  • Keep tracking consistent balances on both suppliers and purchasers on the company‘s system.
  • Track balances on both suppliers and purchasers on the company‘s system.

Skills and Competencies

  • Languages:
  • • Native in Turkish
  • • Fluent in English
  • • Advance in Italian
  • • Beginner in Spanish
  • Computer Skills:
  • Advance:
  • • DAX
  • • Power BI/ Query/Pivot
  • • R
  • • R Shiny Applications
  • • LaTeX
  • • Microsoft Office
  • Intermediate
  • • HTML
  • • Python
  • • SQL
  • • Tableau
  • Beginner:
  • • Azure
  • • VBA
  • • Java
  • • Json
  • • Snowflake
  • Soft Skills:
  • • Time Management
  • • Problem Solving
  • • Reporting Skills
  • • Multitasking

Projects

Interactive User Interfaces
  • MapApp: Conducting an empirical study using both supervised and unsupervised machine learning algorithms.
  • Biblio: Reproducible bibliometric literature review.
  • Tp3: Conducting unsupervised machine learning algorithms (Tp3: runs from console).
    • Viz
  • Tableau: Conducting data visualization using Tableau Destop.
  • Power BI: Projects that I have been working on.
    • HTML
  • TableauViz Combining Tableau, Rshiny, and HTML.
    • R Software Packages
  • CRAN Pomodoro: Comparison of predictive power. This package is intended to make modeling and comparing the predictive powers easier based on the data-splits and all data set.
  • CRAN Pepe: Is intended to make descriptive statistics easier.
  • CRAN Oregano: Is intended to create Shiny Modules to make the visualization easier, expected release late 2023.
    • GitHub
  • Repositories: Current Github repositories.
    • Publications
  • Pomodoro: Predictive Power of Linear and Tree Modeling.
  • Pepe: Data Manipulation.

    • Awards and Honors

    2017- 2022, UNIBG PhD Fund.
    DSU - Toscana, 2013 - 2016.
    TPV (Turkish Gas Foundation Scholarship), 2007 - 2010.
    Turkish Women Community Scholarship, 2007 - 2010.
    Yapi Kredi Bank Scholarship, 2006 - 2010.

    References

    Reference letters will be provided upon request.

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