Position: Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 11

Here are some specific details about my accomplishments and projects:
-Forecasting Skills Project with European Union experts:

Completed a collaborative project with European Union experts focused on forecasting skills.
Played a key role in data cleaning, ensuring the accuracy and consistency of collected data.
Collected data from more than 1000 employers and employees.
Utilized SPSS and Excel for data analysis and manipulation.
-Power BI and Excel Templates:

Developed various templates in Power BI and Excel.
Templates are available on my channel at Eloquence.
Created templates specifically for Sales Analysis, Supply Chain Analysis, and Recruitment Analysis.
These templates provide comprehensive visualizations and insights to support decision-making processes.
-Cardio Food Fitness Project:

Completed as an Artificial Intelligence and Machine Learning Post-Graduate student at McCombs Business School.
Developed an AI-based system to analyze nutritional data and generate personalized diet plans.
Employed machine learning algorithms to predict calorie intake and offer dietary recommendations.
The project aimed to promote healthy lifestyles and assist individuals in achieving their fitness goals.
-Cars4U Project:

Undertaken as part of my studies in Artificial Intelligence and Machine Learning.
Built a predictive model to estimate the resale value of used cars.
Incorporated various factors such as vehicle specifications, mileage, and market trends into the model.
The project facilitated informed decision-making for potential buyers and sellers in the used car market.
These accomplishments highlight my proficiency in data analysis, proficiency with tools such as SPSS, Excel, and Power BI, and my ability to contribute to projects involving forecasting, analysis, and machine learning. They also demonstrate my commitment to leveraging technology and data-driven insights to solve real-world problems.
I have successfully completed a Forecasting Skills project in collaboration with European Union experts. In this project, my primary focus was on data cleaning. We gathered data from over 1000 employers and employees, ensuring its accuracy and consistency. To accomplish this, I utilized tools such as SPSS and Excel, employing various techniques to clean and preprocess the data.

Furthermore, I have created diverse templates using Power BI and Excel, which can be accessed on my channel at Eloquens. These templates are specifically designed for Sales Analysis, Supply Chain Analysis, and Recruitment Analysis, offering valuable insights and visualizations to aid decision-making processes.

Currently, I hold the position of an Artificial Intelligence and Machine Learning Post-Graduate student at McCombs Business School. During my studies, I have successfully completed two notable projects:

Cardio Food Fitness Project: This project involved developing an AI-based system to analyze nutritional data and recommend personalized diet plans for individuals based on their health goals. By leveraging machine learning algorithms, I created predictive models to estimate calorie intake and provide dietary recommendations.

Cars4U Project: In this project, I applied machine learning techniques to build a predictive model for estimating the resale value of used cars. By analyzing various factors such as vehicle specifications, mileage, and market trends, I developed a robust model that accurately predicted the future value of vehicles.

Moving forward, I am eager to further enhance my skills and knowledge in the field of data analysis and machine learning. I aspire to explore advanced techniques and frameworks, such as deep learning and natural language processing, to tackle complex business challenges and extract meaningful insights from vast amounts of data. Additionally, I am keen on collaborating with multidisciplinary teams to develop innovative solutions and contribute to the advancement of data-driven decision-making processes.

Overall, I am proud of my accomplishments thus far and look forward to utilizing my expertise to drive impactful outcomes in future projects.

I am now learning Python and R languages.
I would like to improve these areas.
While I have a clear understanding of my interests and career aspirations, it's important to acknowledge the areas that I do not wish to pursue. While every experience can provide valuable lessons, there are certain aspects that may not align with my professional goals.

Firstly, I am not inclined towards roles or projects that primarily involve repetitive and mundane tasks without room for creativity or critical thinking. I thrive in dynamic and challenging environments that allow me to apply my problem-solving skills and innovative thinking to drive meaningful outcomes.

Additionally, I am not particularly drawn to roles that require extensive travel or long periods of time away from home. While occasional business trips can be enriching, I prioritize maintaining a healthy work-life balance and being present in my personal life.

Furthermore, I prefer to avoid projects that have a limited scope or lack opportunities for continuous learning and growth. I am driven by intellectual curiosity and a desire to constantly expand my knowledge base. Engaging in projects that do not offer opportunities for skill development or pushing boundaries would not align with my professional objectives.

Lastly, I am not interested in roles that involve unethical practices or contribute to the harm of individuals, society, or the environment. I am committed to ethical conduct and socially responsible work, seeking opportunities where I can make a positive impact and contribute to the betterment of communities.

By identifying these aspects, I aim to focus my energy and efforts on pursuing opportunities that align with my passions, values, and long-term career aspirations.