I'm Mina Medhat, currently enrolled at Alexandria University, where I am diligently pursuing a degree in Data Science, with an expected graduation in 2026. Beyond my academic endeavors, I showcase strong proficiency in web development, having successfully designed functional and visually appealing websites using various programming languages and frameworks. Additionally, I possess a comprehensive understanding of Microsoft 365, employing its diverse suite of tools for enhanced productivity and collaborative endeavors. My expertise in data analysis is complemented by my skills in meticulous data preparation, ensuring accuracy and reliability. I am proficient in programming languages like Python, R, and SQL, which enables me to manipulate data and implement sophisticated analytical models effectively. I also have a strong background in data visualization tools such as Power BI and Tableau, transforming complex datasets into visually compelling narratives.
With a strong foundation in Data Science from Alexandria University, I excel in data analysis, visualization, and programming (Python, R, SQL). My expertise in Power BI, Tableau, and RFM analysis transforms complex data into actionable insights. I also bring web development skills and Microsoft 365 mastery, offering a comprehensive approach to data-driven solutions.
See CvUtilize Python for in-depth data analysis, including data cleaning, preprocessing, and exploratory analysis. Use techniques such as regression, classification, and clustering to reveal valuable insights. Transform raw data into actionable information, aiding strategic decision-making and optimizing business operations for growth and efficiency.
Create interactive and visually compelling dashboards with Power BI. Integrate data from multiple sources to provide real-time updates and custom visualizations. Highlight key metrics and trends with user-friendly designs that facilitate quick, informed decisions. Enhance operational efficiency and strategic planning by presenting clear, actionable insights effectively.
Conduct detailed customer segmentation using Python methods like RFM analysis and clustering techniques. Identify distinct customer groups based on behavior and characteristics. Visualize insights in Power BI to tailor marketing strategies, improve engagement, and enhance business outcomes.
Extract critical data from the web with our advanced web scraping services. We handle complex websites and bypass challenging CAPTCHAs to ensure you obtain the data needed for thorough analysis and informed decision-making.
