Zakaria Alsahfi

Zakaria Alsahfi

Data Scientist | Data analyst | Financial Data Analyst

A motivated, teamwork-oriented, and responsible Data Analyst, I have significant experience in enhancing the comprehension of reports and presentations for professionals of all levels. With a strong educational background and fluency in both Arabic and English, I bring a diverse perspective to any project. I am committed to delivering accurate and meaningful insights through data analysis and visualization, and I amconstantly seeking new ways to improve my skills and stay up-to-date with the latest industry trends.

Experience

present

Director Of Information Affairs at University of Business and Technology

Highlights

  • Led data infrastructure renovation, enhancing processing and storage efficiency by 30%.
  • Enhanced decision-making and data access through advanced analytics and management.
  • Implemented data visualization tools, increasing stakeholder reporting clarity and engagement by 35%.

Financial Data Analyst – Freelance at Salla E-Commerce Platform

Highlights

  • Automated and optimized ETL processes, boosting financial reporting efficiency by 30%.
  • Analyzed extensive financial datasets supplying key insights for strategic planning and market trends.
  • Streamlined financial data analysis, contributing to more precise business strategies and decision-making.

Education

M.Sc. in Data Science from Maryville University of Saint Louis

B.Sc. in Computer Science from Fontbonne University of Saint Louis

Certificate

Microsoft Power BI Data Analyst from Coursera

Highlights

  • Completed the Microsoft Power BI Data Analyst program, gaining proficiency in transforming data into actionable insights and creating compelling reports and dashboards.
  • Mastered key Power BI concepts including data modeling with Star schema, DAX calculations, and advanced data analysis techniques.
  • Applied hands-on skills in preparing data for analysis in Excel and Power BI, enhancing data-driven decision-making capabilities.
  • Engaged in learning how generative AI tools and techniques are utilized in business intelligence.
  • Prepared for and earned a 50% discount voucher towards the PL-300 Microsoft Power BI Data Analyst Certification Exam.

Google Advanced Data Analytics from Coursera

Highlights

  • Gained ability in advanced data analysis techniques, including statistical modeling and data visualization.
  • Applied Google Cloud tools and technologies for comprehensive data analysis solutions.

Data Visualization with Python from IBM on Coursera

Highlights

  • Use Python libraries like Matplotlib and Seaborn for compelling data storytelling.
  • Craft various charts like line, area, histograms, bar, pie, box, scatter, and bubble.
  • Produce waffle charts, word clouds, regression plots, and map visualizations.
  • Build interactive dashboards with Dash and Plotly, featuring diverse chart types.

Business and Data Analyst from SDA Simplilearn

Highlights

  • Mastery of data analytics tools and techniques for practical business application.
  • Ability to work with SQL databases, and program with R and Python for data analysis tasks.
  • Skills in creating insightful data visualizations and applying predictive analytics.
  • Hands-on experience through industry-based projects, enhancing job readiness.

Publications

Machine Learning Classifiers Help to Manage COVID-19 Distribution in China. by Scientific Report, impact factor: 4.996(Springer Nature)

The authors outline how machine learning classifiers predict and manage the spread of COVID-19 in China. The research delves into the effectiveness of various algorithms in comprehending the virus’s transmission and guiding public health decisions. The findings indicate that machine learning can be a pivotal tool in epidemic response strategies by delivering precise predictions and, importantly, facilitating data-driven decision-making to improve the approach’s reliability.


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