Baris Bak

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. 

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

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