Hi! This is Nela Rifda Portfolio

Hello! My name is Nela Rifda, and I'm passionate about data and numbers. I have a master's degree in food technology. My thesis project sparked my curiosity, which used machine learning to evaluate data, focused on the detection of adulteration in chocolate powder. I got excited about the processing of my study data. I received the results of sample groupings and a prediction model for the percentage of adulteration based on five regression models (RF, SVM, PLSR, Ridge, and Elastic Net).

I made an effort to advance the field of data analysis once I graduated. Learned about SQL, Excel, Tableau, Power BI, also Python. These five tools have also helped me accomplish projects. These projects used a variety of intriguing-to-explore datasets for web scraping, data cleaning, exploratory data analysis, and dashboard data visualization. On this portfolio page, I have provided detailed information on the work I have completed.

As a new entry data analyst, after completing my independent projects, I realized that I have a passion for this field. Besides that, I am a fast learner person, very dedicated, and have high curiosity, which encourages me to always explore this topic thoroughly and finish tasks in the future. So, let's connect if you're searching for a data analyst with research experience! I will be glad to finish any fascinating tasks in the future!

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