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Baris Bak

Baris Bak

Data Analyst

Talent
Wokingham, Wokingham20 GBP/hourMember since November 22, 2023
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About

Analytical thinking and solution-oriented data analyst with a strong foundation in audit data analysis, offering 3 years of expertise in the fintech industry. Specializing in data-driven solutions, excel in data cleaning, data transformation, and data visualization areas, ensuring data accuracy and optimizing financial processes for enhanced decision-making in the dynamic world of fintech. Proficient in Python, SQL, advanced Excel, Power BI, and Tableau, with a keen aptitude for leveraging these tools to extract actionable insights.

Experience

Baris Bak is a Data Analyst with 3 years of experience in the fintech industry, possessing strong analytical skills and a solution-oriented approach. He specializes in data-driven solutions, excelling in data cleaning, transformation, and visualization. Baris is proficient in Python, SQL, advanced Excel, Power BI, and Tableau, with a focus on optimizing financial processes for informed decision-making.

He holds an MSc in Finance and Financial Technology and has a background in Financial Economics.

Education:

  • MSc in Finance and Financial Technology, Henley Business School (2022-2023)
  • MA in Financial Economics, Izmir University of Economics (2019-2022)
  • BA in Economics, Bilkent University (2012-2017)
Technical Proficiencies:
  • Data Technologies: SQL, Microsoft Excel, Power BI, Tableau, KNIME, SAS
  • Programming Languages: Python, R
  • Methodologies: Statistical Analysis, Regression Analysis, Cluster Analysis
Career Experience:

Independent Contracts, UK (5/2023 – Present)

  • Data Analyst, Consultant
    • Implemented a data-driven initiative for an e-commerce client, focusing on customer retention strategies.
    • Conducted thorough data analysis using Python and SQL, resulting in a 20% increase in repeat purchases.
    • Developed interactive dashboards using Power BI.
PKF International, Turkey (2/2019 – 6/2022)
  • Audit Data Analyst
    • Transformed raw data into strategic insights, facilitating proactive decision-making.
    • Led an audit team, conducted physical inventories for 40 companies, and managed big data projects.
    • Collaborated with cross-functional teams to align data analyses with organizational goals.
MEN Izmir Accounting Consultancy, Turkey (2/2018 – 1/2019)
  • Accountant
    • Managed daily and yearly financial transactions for multiple firms.
    • Conducted market analysis for over 20 clients and produced comprehensive financial documents.
    • Developed business proposals and controlled tax declarations for various companies.
Projects:

Empirical Inquiry into Financial Markets (2022-2023)

  • Utilized Python for web scraping and SQL for data storage.
  • Merged textual analysis results with stock price data, applying econometric procedures for analysis.
Customer Category Predictor
  • Analyzed a dataset to train a Classification Model for customer categorization.
  • Collaborated with the Sales team to implement a targeted marketing strategy based on customer categories.
Urban Insight: Analyzing Airbnb's Impact on Housing and Communities
  • Contributed data-driven insights to the debate on the impact of Airbnb on housing and communities.
  • Produced a comprehensive report synthesizing findings and providing a tool for navigating regulatory landscapes.
Languages:
  • English (Advanced)
  • Turkish (Native)
Personal Interests:
  • Making Music
  • Sports
  • Gastro-Tourism

Education

Independent Contracts, UK 5/2023 – Present

Data Analyst, Consultant

Implemented a data-driven initiative for a prominent e-commerce client with a focus on enhancing customer retention strategies. Conducted thorough data analysis using Python and SQL, transforming raw data into actionable insights.

Project: E-commerce Customer Retention Enhancement

  • Performed thorough data analysis, converting raw data into actionable insights.
  • Created interactive and visually compelling dashboards using Power BI.
  • Developed a predictive model that enhanced the client's customer retention efforts, resulting in a 20% increase in repeat purchases within the first quarter of implementation.
Technologies: Python, SQL, Power BI

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