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With experience in SQL, Power BI, and Python, ML I can help with tasks such as:

Querying and manipulating data using SQL Creating data visualizations and reports using Power BI Cleaning and pre-processing data Identifying patterns and trends in the data Providing insights and recommendations based on the data Integrating data from multiple sources Using Python to perform data analysis and build predictive models I can work with a variety of data types and formats, including structured and unstructured data. I am also familiar with a number of data analysis libraries in Python such as pandas, numpy, matplotlib, seaborn,plotly and scipy, scikit-learn. I am committed to providing actionable insights to help organizations make data-driven decisions.

Sanja's Projects

automatic-file-sorter-in-google-drive icon automatic-file-sorter-in-google-drive

The Automated File Sorting System is a Python project designed to efficiently organize various types of files into appropriate folders. It aims to simplify the process of managing and locating files by automating the sorting process based on their file extensions.

bi-solution-for-hr-department icon bi-solution-for-hr-department

Its BI solution designed with four report pages: Department, Actives, Separations, and Recruitment. These report pages provide comprehensive analysis for the HR Department to gain insights into its employees.

bike-dashboard-in-excell icon bike-dashboard-in-excell

Create a short Excel dashboard for selling bikes, including data cleaning, pivot tables, and visualizations.

data-professional-survey-breakdown---power-bi icon data-professional-survey-breakdown---power-bi

The Data Professional Survey Breakdown dashboard is designed to assist in understanding the preferences, trends, and challenges data professionals face. It offers a user-friendly interface with interactive visualizations to facilitate data exploration and decision-making.

ticketing-system---power-bi icon ticketing-system---power-bi

Power BI project for the purpose of tracking and analyzing tickets, which are actually feedback from students about the work of their mentors. It was developed for an online educational platform."

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