Shahd Emam
@shahdemam
Data Analyst turning complex data into actionable insights through Python and BI.
What I'm looking for
I’m a Data Analyst with hands-on experience in data cleaning, preprocessing, and visualization, and a strong foundation in machine learning and statistical analysis. I graduated with Honors (Excellent) from Bachelor of Computer Science and Artificial Intelligence (GPA 3.6).
I translate complex datasets into clear, actionable insights through training, capstone projects, and client-focused reporting. From building interactive Power BI dashboards to delivering SQL/Python analytics (e.g., USA job market trends) and presenting results for diverse audiences, I focus on accuracy, communication, and stakeholder-ready outcomes.
Experience
Work history, roles, and key accomplishments
Data Analysis Instructor
Pixels.eg
Aug 2025 - Present (11 months)
Delivered data analysis training covering core concepts and practical tools, including Python, Excel, and Power BI. Created training presentations and reports and managed classroom logistics to support educational outcomes.
Soft Skills Intern
MINT by EGBank
Jan 2022 - Jan 2026 (4 years)
Participated in a professional development program focused on communication, teamwork, and strategic decision-making. Collaborated with internal departments to simulate business strategy development and process optimization.
Data Analysis Trainee
National Telecommunication Institute (NTI)
Jul 2025 - Aug 2025 (1 month)
Completed a two-month intensive program in data analysis covering SQL, Python, and business intelligence tools. Delivered a capstone project on the USA job market using SQL, Excel, Power BI, and Python, including research and data validation for accurate analytics reports.
Data Analyst
Self-Employed
May 2026 - Present (2 months)
Cleaned and analyzed datasets using Power BI and built interactive dashboards and reports based on client requirements. Performed data preprocessing and visualization to support decision-making while meeting deadlines and expectations.
Hackathon Participant
Orange & Instant Hackathon
Competed in a data analysis hackathon applying analytical and mathematical skills to solve real-world business problems. Developed data-driven strategies to improve efficiency and reduce costs in a competitive, time-sensitive environment.
Education
Degrees, certifications, and relevant coursework
Capital University
Bachelor of Computer Science and Artificial Intelligence, Computer Science and Artificial Intelligence
Grade: GPA 3.6; Honors (Excellent)
BSc in Computer Science and Artificial Intelligence from Capital University (GPA 3.6). Graduated with honors (Excellent).
Availability
Location
Authorized to work in
Job categories
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