Position: Data Analyst / Scientist (Remote)
Category: Data Science
English level: fluent
Years of experience: 1.5

I am currently a second-year master student in Big Data Management & Analytics at CentraleSupélec (Paris, France), with 1.5 years' experience in data and business analysis. Holder of the French Government Scholarship.
On my first internship at the position of a Data Analyst Intern at a payment gateway, I have been working daily with SQL, Tableau, and Python. I've been using Tableau for constant monitoring of payment transactions' databases, improvement of the existing real-time reports, and preparing daily/weekly/monthly reporting and analytics for the team. In the meantime, I was using Python and SQL to build a data reconciliation software to compare our internal databases with data from other sources in the payment process chain.

During my time on the position of Business Analyst at the consultancy company, I was also working in the data department and was using Python and SQL to build solutions for our clients' needs based on a preliminary analysis of their real business needs and available databases. I was also using Excel and PowerPoint to work with clients' data and prepare visualized presentations for clients.

Working as a System Analyst at a logistics company, I entirely focused on developing an internal warehouse management tool. Primarily, I analyzed the current state of a deal, rebuild a database structure to fit my planned web solution. After, I developed an online portal using Python (Django) technology for the back-end. The tool itself is a real-time data-driven web tool for visualization and management of all warehouse activities, with multiple users. Also, I was using Tableau for regular reporting.

For my personal project, I also dived deep into the recommender systems field and studied content-based and collaborative filtering. These approaches are based on different data mining, machine learning algorithms to predict users' ratings of unrated items, and user similarity.