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Yumna Gamal

@yumnagamal

BI and data analyst at Samsung Innovation Campus, where I train participants in big data and built a fraud detection pipeline with 96% accuracy.

Egypt

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At Samsung Innovation Campus, I deliver big data training and project-based exercises, and I developed data pipelines during my Big Data internship. My fraud detection pipeline processed 6M+ transactions and achieved 96% accuracy.

As a Power BI Developer Intern at Information Technology Institute (ITI), I developed SQL databases and data warehouses that reduced OLTP-to-OLAP transfer time by 35%. I also delivered interactive reports and dashboards using Power BI and other BI tools.

At Caretha, I analyzed datasets with statistical analysis, hypothesis testing, and A/B testing to inform product decisions. I also teach data analysis at Eduzah and deliver Power BI and analytics training at the National Telecommunication Institute (NTI).

My projects include a marketing campaigns BI solution with 9+ dashboards tracking 60 campaign KPIs, and BloodFlow, an AI-powered blood donation platform built with a three-member team. BloodFlow placed third in the Samsung Innovation Campus Hackathon and was showcased at the Nile University UGRF 20th Global Forum.

Experience

Work history, roles, and key accomplishments

Current

Big Data Facilitator

Current

Samsung Innovation Campus

Aug 2025 - Present (1 year 2 months)

Delivered big data training and project-based exercises to 50+ participants, increasing hands-on skill application across Hadoop, Spark, and pipeline modules by 30%. Led scheduling and classroom readiness for all sessions, achieving 100% on-time workshop delivery and 95%+ participant attendance.

Hadoop Spark Data Pipelines Training Workshop Facilitation

Current

Data Analysis Instructor

Current

Eduzah

Jun 2025 - Present (1 year 4 months)

Delivered 10+ training sessions for 20+ graduates on Excel, Power BI, and BI tools, raising assignment completion rates by 25%. Developed structured feedback for 20+ SQL assignments, improving student comprehension scores and final project quality by 20%.

Excel Power BI SQL Training Feedback

Current

External Instructor

Current

National Telecommunication Institute (NTI)

May 2025 - Present (1 year 5 months)

Delivered Power BI and data analytics training to 30+ graduates, enabling 100% of participants to complete data modeling and DAX dashboard projects. Led 5+ hands-on workshops with lab activities, accelerating applied skill development and increasing workshop completion rates to 90%+.

Power BI Data Analysis DAX Data Modeling Training Workshops

Current

Core Team Member, Data Science Track (Volunteer)

Current

Microsoft Learn Student Club

Jul 2023 - Present (3 years 3 months)

Led data science training and mentorship for 500+ students, achieving a 95% task completion rate across all learning tracks. Delivered 10+ workshops and technical community events, increasing active participation in the data science track by over 40%.

Data Science Training Mentorship Workshops Community Engagement

Power BI Developer Intern

Information Technology Institute (ITI)

Mar 2025 - Jun 2025 (3 months)

Developed advanced SQL databases and data warehouses (DWH) that reduced OLTP-to-OLAP transfer time by 35% and improved analytical query performance. Delivered 10+ interactive reports and dashboards using SSIS, SSAS, SSRS, Power BI, Excel, and Tableau, increasing stakeholder data accessibility by 40%.

SQL Data Warehouse SSIS SSAS SSRS Power BI Excel Tableau

Data Science Intern

Caretha

Oct 2024 - Mar 2025 (5 months)

Delivered statistical analysis, hypothesis testing, and A/B testing across 6+ datasets, generating insights that informed 100% of reviewed product decisions. Identified high-impact trends in 6+ datasets that accelerated analytics team decision-making speed by 25% and supported product strategy updates.

Statistical Analysis Hypothesis Testing A B Testing Data Analysis

Big Data Intern

Samsung Innovation Campus

Jul 2024 - Sep 2024 (2 months)

Developed end-to-end data pipelines with Python, Hadoop, Spark, Kafka, Hive, Sqoop, and Cassandra, processing multi-source data for 7 graded analytics projects. Completed 55+ labs and 7 assignments, including a fraud detection pipeline that improved detection accuracy and reinforced big data optimization skills.

Python Hadoop Spark Kafka Hive Sqoop Cassandra Data Pipelines Fraud Detection

Education

Degrees, certifications, and relevant coursework

Egyptian E-Learning University

Bachelor of Science, Computer Science and Information Systems

Grade: GPA: 3.12 / 4.00

Bachelor of Science in Computer Science and Information Systems with an IT major, completed in January 2024. Graduation project on Conversational AI Virtual Assistant achieved a grade of A+.