Position: Data Analyst
Category: Data Analyst
English level: intermediate
Years of experience: 3


Hello!

My work experience includes working as an analyst on various projects related to real estate, tourism, and the retail sector. During this time, I completed various projects and tasks using different technologies and tools.

Key aspects of my work included:

1. Market Analysis
I conducted market analysis in the real estate, tourism, and retail sectors, studying current trends and dynamics. This analysis involved data collection and processing.

2. Data Extraction
I used Python and libraries such as Pandas, NumPy, and Matplotlib to extract and process data. This included reading and analyzing large volumes of information, as well as transforming data for further analysis.

3. Forecasting
Based on data analysis and identified patterns, I developed forecasting models that helped predict future trends and outcomes in the fields of real estate, tourism, and retail.

4. Team Role
I was an active member of a team of analysts and data specialists. My role involved data analysis, creating reports and presentations of findings, and collaborating with other team members to achieve project goals.

What I Want to Improve:

I aim to deepen my knowledge in the field of data analysis, particularly in machine learning and statistical modeling. I also want to enhance my Python programming skills and explore new libraries and tools that could improve the efficiency of my work. Additionally, I plan to develop my communication and teamwork skills to become a more valuable contributor to projects.

This work experience has allowed me to develop skills in data analysis, programming, and forecasting, and I am ready to continue deepening and expanding my knowledge in this field.