I have experience working on large and complex data. I can write complex SQL queries and perform important analysis to analyze big data. I can make models with big data and draw meaningful conclusions. I can use data visualization tools at an expert level and visualize data.
Overview
10
10
years of professional experience
1
1
Language
Work History
Freelence Data Analyst
Freelence
07.2024 - 07.2025
Developed and optimized algorithmic cryptocurrency trading bots using Python by analyzing real-time exchange data (price, volume, etc.).
Created and implemented trading strategies for bots to make automated buy/sell decisions based on real-time market analysis.
Managed the backtesting process for developed bots, evaluating their performance under various market conditions to improve profitability and efficiency.
Automated data collection, cleaning, and analysis pipelines to streamline the bot development lifecycle.
Utilizing AI to optimize and accelerate code development processes.
Data Analyst
Rhenus Logistics
12.2023 - 06.2024
Proficiency in Power BI Desktop and Power BI Service
Strong understanding of DAX (Data Analysis Expressions) language
Analyze data with Power BI and create meaningful visualizations
Design and develop interactive dashboards and reports in Power BI
Utilize Power BI to customize reports, meeting user requirements and business goals
Share and present reports and dashboards within your organization using Power BI.
Expertise in data modeling and visualization techniques.
Ability to write SQL queries.
Sales Data Analyst Team Lead
Delivery Hero / Yemeksepeti
01.2022 - 07.2023
Planning and directing the team to ensure timely project delivery
Creating user-friendly reports and dashboards for end-users using Tableau and Looker Studio tools
Performing data analysis with large datasets by writing complex SQL queries to meet the needs of the sales team
Analyzing data to determine sales models and forecast future sales
Automating data processes to reduce repetitive tasks and save time for the sales team
Testing data accuracy and consistency, Identifying data-related errors and working with the Business Intelligence Department to rectify them
Contributing to the creation of weekly, monthly, and annual KPIs
Organizing training sessions within the sales department for data interpretation and implementation in the context of data democratization
Collaborating with global teams to provide data-focused support for global projects and product development