Position: Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 1.5

Throughout my career as a data analyst, I have had the opportunity to work on a variety of projects and achieve some notable accomplishments. Some of my most significant achievements include:

Developed a data dashboard using Power BI and SQL that provided real-time analytics to stakeholders in the organization. The dashboard received positive feedback from users for its user-friendly interface and ability to quickly identify key trends and patterns in the data.

Worked on a data modeling project that involved using Python libraries such as Pandas and Numpy to clean and transform large data sets. The resulting data model was used by the organization for forecasting and predictive analytics, resulting in more accurate predictions and insights.

Created interactive data visualizations using Tableau and Excel that helped stakeholders to understand complex data sets and make informed decisions. These visualizations were praised by users for their clarity and ease of use.

Led a team of junior analysts on a project that involved analyzing customer data to identify trends and insights that could be used to improve the customer experience. The project involved working with stakeholders from across the organization, and resulted in several recommendations that were implemented and led to a significant increase in customer satisfaction.

Overall, I am proud of these accomplishments and the skills that I have developed through these projects. I am excited to continue to take on new challenges and leverage my expertise in Python, SQL, Power BI, Tableau, and Excel to deliver impactful insights and recommendations to stakeholders.
Data Analyst
Thrive Company Istanbul (2021-2023).
QSS Analytics Jan-May of 2023
Utilized Oracle Database to extract, transform, and load large
datasets, ensuring data integrity and accuracy for analysis
purposes. Wrote SQL queries to retrieve specific information, performed data cleansing, and implemented data quality
checks. Created visually appealing and interactive dashboards using
Power BI to present data insights and trends to stakeholders. Employed Python programming language to enhance data
analysis capabilities, leveraging libraries such as Pandas and NumPy for data manipulation and analysis. Leveraged advanced Excel functionalities such as pivot tables, data analysis tools, and formulas to analyze and manipulate
data effectively.
When it comes to my expectations for a new role, there are a few key things that are important to me. First and foremost, I am looking for a position where I can continue to develop my skills and expertise in data analytics. I thrive in environments where I am given the opportunity to learn new technologies and work on challenging projects that allow me to stretch my abilities.

In addition to professional development opportunities, I am also looking for a company culture that values collaboration and teamwork. I believe that the best work is often accomplished through the collective efforts of a group of individuals who are passionate about their work and who are committed to achieving a common goal.

On the other hand, I would prefer to avoid roles that involve a significant amount of repetitive or routine tasks that do not allow for creativity or innovation. While I understand that some level of routine work is necessary in any job, I am looking for a position where I am able to take on new challenges and projects that allow me to apply my skills in new and exciting ways.

Ultimately, I am excited about the opportunity to join a team that is committed to excellence in data analytics and that values the contributions of each individual team member. I believe that my skills, experience, and passion for the field make me an excellent candidate for this type of role.