Fatemeh Salari

I have completed a specialized master's in Data science, big data at the Université Libre de Bruxelles. I have studied data mining, Times series analysis, Computing foundation of data science, multivariate and high dimensional statistics, Data management and Analytics, and financial econometrics. Through these courses, I have been involved with different academic projects from data analysis using python and spark to time series forecasting using R programming.

Also, I have taken some Coursera programs such as “Data Structures and Performance” presented by the University of California San Diego, and also “Machine Learning” presented by Stanford University.

I have worked as a data science intern at The Fabricant. I have been part of different projects such as Collecting structured and unstructured data, Processing, cleansing & verifying data. Also, I was responsible for extracting, transforming, and loading data into the database. As part of my job, I applied sentiment analysis using social media data using different machine learning models.

During my studies and work experiences, I have developed several skills like competitive analysis, critical thinking, problem-solving, meeting deadlines, teamwork, and delivering effective presentations. I believe I have a lot to offer as well as gain from this position and am sure it will be an enriching experience.

I have worked as a data science intern at The Fabricant. I have been part of different projects such as Collecting structured and unstructured data, Processing, cleansing & verifying data. Also, I was responsible for extracting, transforming, and loading data into the database. As part of my job, I applied sentiment analysis using social media data using different machine learning models.

I have completed a specialized master's in Data science, big data at the Université Libre de Bruxelles. I have studied data mining, Times series analysis, Computing foundation of data science, multivariate and high dimensional statistics, Data management and Analytics, and financial econometrics. Through these courses, I have been involved with different academic projects from data analysis using python and spark to time series forecasting using R programming.

Also, I have taken some Coursera programs such as “Data Structures and Performance” presented by the University of California San Diego, and also “Machine Learning” presented by Stanford University.