RAGHDA SHERIF ELNADREE

PROFESSIONAL SUMMARY:

Computer Science professional and PhD researcher with strong academic, teaching, and research

experience in data analysis and AI. Experienced in higher education instruction, applied research, and

industry-aligned projects, with strong communication skills and a commitment to academic excellence.

PROFESSIONAL CERTIFICATIONS:

• Academic Qualifications:

? Pre-PhD in Computer Science (Grade: Excellent) (2023)

? M.Sc. in Computer Science (Grade: Excellent) (2022)

? B.Sc. in Computer Science (Grade: Very Good) (2010)

Faculty of Computers and Information, Menoufia University, Egypt.

• Courses, Training & Qualifications:

? PMP (Online) & RMP Training (2026).

Completed full professional training programs.

? Faculty and Leadership Development Center (FLDC), Cairo University – Egypt | 2023.

Certified training in ethics, legal & financial affairs, communication skills, e-learning, sustainability, and

entrepreneurship.

? English Academic Writing (LCEC), EFL (504), IQ Test (119) — Egypt & USA | 2023.

? Completed multiple DataCamp verified courses (2021–2025)

In data science, analytics, BI, databases, and machine learning, including Intermediate SQL (2025); Power BI

(data modeling, visualization, DAX, and job-market case study, 2022); Cloud Computing and Data

Visualization with Seaborn (2022); SQL & SQL Server; Snowflake (Fundamentals & SQL); R programming;

Machine Learning for Business; Supervised Learning with scikit-learn; and core foundations in Data Science

and Python, strengthening skills in data querying, modeling, visualization, and applied ML.

? Completed multiple LinkedIn Learning verified courses (2021)

Completed certified courses in Applied Machine Learning: Algorithms, Faster Pandas, Customer Service:

Writing for Social Media, and Career Development Planning (2021), strengthening skills in applied ML,

efficient data handling, professional communication, and career planning.

? Reviewer, IJECE (Scopus Q2) – IAES, Yogyakarta, Indonesia | Sep 2022 (Certified & Verified).

? IBM Digital Credentials (Coursera) |.

Data Science Orientation, Python for Data Science & AI, and Python Project for Data Science.

? Information Technology Institute (ITI), Egypt | 2015.

Certified training in GIS Trainers Preparation Program. Verified.

? IEEE Egypt Section (GOLD) | Cairo, Egypt | Aug 2010.

Verified Certificate of Appreciation for Hand Gesture Recognition Mobile Application (HGRMA) project.

Verified.

• Conferences & Professional Development

• AI Everything MEA Egypt 2026, Cairo. Professional Technical Attendance – AWS AI Training Academy

Focus: Cloud-Based AI Development, Generative AI, Agentic AI, Secure Conversational AI.

• Egypt–Japan Smart Energy Symposium, Tanta University, 2026Certificate of Attendance – AIoT, Smart

Grids & Green Hydrogen.

RESEARCH PUBLICATION:

• Publication: Performance Investigation of Feature Extraction and Classification Approaches for Sentiment

Analysis Systems — IJCI, Vol. 9(1), 2022.Authors: R. Elnadrey, A. Elsisi, W. Attwa | Faculty of Computers &

Information, Menoufia University, Egypt.Evaluated sentiment analysis models on Twitter data; Word2Vec +

XGBoost/Random Forest achieved best performance.

WORK EXPERIENCE:

• Faculty of Computers and Artificial Intelligence, Al-Riyada University for Science and Technology (RST), Sadat

City, Egypt.

? Teaching Assistant | Sep 2025 – Present

? Courses Taught: Cybersecurity, Computer Graphics, Data Structures, Advanced Programming (Java &

C++), and Image Processing.

• Higher Institute for Administrative Sciences, Awsim, Giza, Egypt.

? Associate Lecturer | May 2024 – Augst 2025.

? Courses Taught: Advanced Structured Programming; Networks & Information Security; Decision Support

Systems; Databases; Statistics & Operations Research Tools; Business Analytics; E-Business; Enterprise

Information Systems; Computer Programming Applications; IT Risk Management; Business Analytics & Data

Mining; Information Systems Analysis & Design; IT & Innovation; Computer Program Design; Information

Systems Strategy.

• Canadian Higher Institute of Computers (CIC)

? Associate Lecturer | Augst 2022 - July 2023

? Courses Taught: Computer Graphics and Metaverse, Data Structures, Introduction to Programming using

Python

TECHNICAL SKILLS:

• Programming Languages: Python, Java, SQL

• Data Science Tools: Jupyter Lab, Anaconda Navigator, Spyder

• Database Management: SQL Server, PostgreSQL

• Data Visualization: Power BI, Tableau, Excel

• Machine Learning: Predictive Modeling, Feature Engineering, Statistical Analysis

• Networking: Cisco Packet Tracer, Cybersecurity Fundamentals & Network Security

• Other Tools: Microsoft Office Suite, Photoshop, InDesign, Illustrator

PROJECTS & RESEARCH:

• Project Data Modeling – Master’s Project (2022): Software automation, data visualization, and large-scale data

analysis.

• Projects Data Analysis Company Portfolio (2020)

• Visualizing COVID-19: Generated insights to support decision-making and public awareness efforts.

• Predict Credit Card Approval Model: Developed a predictive model for credit card approval using data

analysis techniques.

• Sentiment Analysis Enhancement of Microblog Data System: Improved sentiment analysis algorithms

for microblog data analysis.

• Hand Gesture Recognition Mobile Application: Applied machine learning algorithms to recognize and

interpret hand gestures accurately.

• Arabic Tweet Analysis - Categorization: Analyzed Arabic tweets and categorized them based on

content and sentiment.

• Investigating Netflix Movies and Guest Stars in The Office: Conducted data analysis on Netflix movies

and guest stars appearing in The Office series.

• Smart Coffee Shop Network Simulation – Cisco Packet Tracer (Ongoing).

LinkedIn: Raghdah Shrif | Email: eng.raghdahshrif@gmail.com | Phone: +201007447385 |01214258474