Location
PolandRate
Years of experience
2+About
As a Data Scientist and Python Developer based in Warsaw, Poland, I have built a dynamic career in data science, leveraging tools like Python, IBM SPSS, and SQL to drive business analytics and data visualization. My journey began with a Bachelor's degree in Sociology from Warsaw University of Life Sciences, and I am currently pursuing a Master's degree in Computer Science at the University of Lodz. I thrive on transforming raw data into actionable insights and have gained valuable experience in various roles, including my current position as a Data Entry Assistant at 24betting. Here, I manage large datasets, conduct statistical analysis, and automate data processing tasks to support business decisions. Prior to this, I worked as a Data Analytics Trainee at Inet Install sp, where I gained hands-on experience with data analysis tools and worked on renewable energy projects. I also served as a Business Analytics Intern at Sensify Spain S.L., focusing on renewable energy data analysis and optimizing business processes in the banking sector. Fluent in Russian, Polish, Belarusian, and English, I effectively collaborate in diverse, multicultural environments. My certifications in Python and data science underscore my commitment to continuous learning and professional development.Tech Stack
Data Entry, Data Science, Jira, Pandas, Python, TrelloExperience
- Conducting statistical analysis and managing large datasets to support business decisions at 24betting.
- Utilizing IBM SPSS, Python, and MS Excel for data visualization and reporting at 24betting.
- Developing and automating data processing tasks to improve efficiency and accuracy at 24betting.
- Performing data cleaning tasks and exploratory data analysis (EDA) to ensure dataset readiness and identify trends at Inet Install sp.
- Creating summary statistics, visualizations, and dashboards to present data insights and monitor key performance indicators (KPIs) at Inet Install sp and Sensify Spain S.L.
- Developing forecasting models using statistical methods with Python at Sensify Spain S.L.
- Collecting and analyzing data to create monthly reports and conduct market research using Tableau and Power BI at Sensify Spain S.L.
Employment history
- Conduct statistical analysis and manage large datasets to support business decisions.
- Utilize IBM SPSS, Python, and MS Excel for data visualization and reporting.
- Develop and automate data processing tasks to improve efficiency and accuracy.
- Collaborate with cross-functional teams to provide actionable insights based on data analysis.
- Maintain and update data entry protocols to ensure data integrity and accuracy.
- Assist in the development and implementation of data management strategies.
- Assisted in collecting data from various sources related to renewable energy projects and performed data cleaning tasks to ensure dataset readiness.
- Conducted basic exploratory data analysis (EDA) using Excel to identify trends and patterns in renewable energy data.
- Created summary statistics and simple visualizations to present initial findings on energy production and consumption.
- Assisted in preparing regular reports to track key performance indicators (KPIs) for renewable energy projects and supported the creation of PowerPoint presentations summarizing data insights.
- Created basic charts and graphs in Excel to visualize renewable energy data and supported the development of dashboards in Tableau under supervision.
- Assisted with basic SQL queries to extract data from renewable energy databases and helped maintain data documentation.
- Worked closely with team members to understand data requirements and deliver necessary data insights for renewable energy initiatives.
- Gained hands-on experience with data analysis tools like Excel, SQL, and Tableau through guided tasks.
- Assisted in ad-hoc data analysis tasks related to renewable energy and provided support in preparing datasets for specific projects or presentations.
- Collected and analyzed data from various sources to create monthly reports, utilized Tableau and Power BI for data visualization.
- Conducted market research and competitive analysis, identifying key trends and growth opportunities.
- Analyzed and optimized business processes.
- Processed large volumes of data using SQL and SAS, created and managed databases.
- Developed forecasting models using statistical methods with Python.
- Supported projects for the implementation of analytical solutions, collaborated with other departments to gather requirements.
- Prepared presentations and reports to present analytical findings to management, participated in meetings.
- Created and maintained interactive dashboards for monitoring key business metrics.
Education history
“80+ clients have experienced exceptional results from our IT recruitment and software development services.”
Twist Solutions, Ltd.
Qualifyze GmbH
Kroll, Inc.
GlossGenius, Inc.
Idealab, Inc.
Epinote
Verus Analytics LLC
Roesier, Inc.
CoCoHub, Ltd.
Reef Technologies
Xino Sports LLC
Flowr Agency
Remarkable Ones
WebCrafters, Inc.
1Security
Jutro Medical
Wellbee
ZIM
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