Location
PolandRate
Years of experience
4+About
I am a Certified Data Analyst with a Master's degree in Finance and Accounting mixed with Big Data from SGH Warsaw School of Economics, where I graduated with a perfect grade of 5.0. My technical skills encompass a broad range of tools and languages, including Python, SQL, PowerBI, and Bash, with proficiency in using libraries and frameworks such as Pandas, Numpy, Matplotlib, Seaborn, and PyTorch. I have hands-on experience with databases like Azure, T-SQL, and PostgreSQL, and I am well-versed in ETL processes and data visualization techniques. My interests lie in Deep Learning, Machine Learning, Exploratory Data Analysis, and Big Data, which I have continuously developed through various courses and certifications. In my current role as a Data Analyst at XTB S.A., I specialize in data analysis within the trading department, focusing on model transactional data. I generate reports from extensive business and market datasets, optimize efficiency through automation using procedures and APIs, and collaborate closely with the data warehouse team to create impactful PowerBI dashboards. My responsibilities also include developing and maintaining a Flask-based web application for efficient database access and data export, as well as creating stored procedures for data deviation reports. Through these projects, I have honed my skills in web app development, SQL databases, data processing, and visualization, enabling me to provide comprehensive insights and support data-driven financial decisions.Tech Stack
Power BI, Bash, ETL, Git, Jira, Jupyter, Linux, Matplotlib, Numpy, Pandas, PythonExperience
- Specializing in data analysis using Python and SQL, focusing on model transactional data, generating reports from extensive business and market datasets.
- Conducting ETL processes and optimizing efficiency through automation using procedures and APIs, leveraging T-SQL and Python.
- Designing and maintaining impactful PowerBI dashboards for data visualization to provide comprehensive insights and support data-driven decisions.
- Collaborating closely with the data warehouse team to create data analysis scripts and reports, ensuring seamless data integration and management.
- Developing a Flask-based web application for efficient database access and CSV data export, enhancing web app development skills and SQL database management.
- Creating stored procedures that retrieve data, process it, generate CSV reports, and handle errors, primarily used for producing data deviation reports and sending error notifications via email.
- Conducting in-depth analysis of client's trading data using PowerBI for visualization, T-SQL and PostgreSQL for data extraction and management, and Python for data processing, aimed at enabling data-driven financial decisions.
Employment history
- Specializing in data analysis using Python and SQL to model transactional data, and generating comprehensive reports from extensive business and market datasets.
- Conducting ETL processes and optimizing efficiency through automation by using procedures and APIs, ensuring streamlined data processing and integration.
- Designing and maintaining impactful PowerBI dashboards for data visualization, providing clear and actionable insights to support data-driven decision-making.
- Working closely with the data warehouse team to develop and implement data analysis scripts and reports, ensuring accurate and efficient data handling and analysis.
Education history
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