Data Science with 1+ years in Data Analysis & Business Intelligence
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Data Analyst & BI Developer with 1 year of professional experience in data analysis and business intelligence. Skilled in leveraging SQL, Python, Power BI, and Excel to transform raw data into actionable insights, build interactive dashboards, and support data-driven decision-making. Experienced in data cleaning, data modeling, KPI reporting, and advanced data visualization using Power Query and DAX. Strong foundation in Machine Learning and Artificial Intelligence, with hands-on experience in developing, evaluating, and optimizing ML models. Proven ability to analyze complex datasets, solve business problems, and communicate insights effectively to support strategic decisions.
Ain Shams University
B.SC of Computer and Information Science · Information systems and Design Department
N/A – June 30, 2024
iSchool
Remote Machine Learning Instructor
April 1, 2026 – Present
India
Ninety consulting office
Part-Time Data Analyst
June 1, 2025 – Present
Cairo, Cairo Governorate, Egypt
National Telecommunication Institute (NTI)
Artificial Intelligence Internship (Python)
October 1, 2024 – December 1, 2024
Cairo, Cairo Governorate, Egypt
Orange Digital Center (ODC)
Artificial Intelligence Internship (C++)
March 1, 2024 – October 1, 2024
Cairo, Cairo Governorate, Egypt
Sales & Profit Performance
June 1, 2026 – June 1, 2026
Engineered a structured data model to analyze $1.92M in sales and $247K in profit using advanced formulas and Pivot Tables. Identified California ($390K) as the top market and Technology as the primary profit driver reaching $38K. Visualized Q4 seasonal peaks ($230K+/month) and tracked growth for a base of 638 customers. Automated reporting for 260+ products, providing data-driven recommendations to optimize revenue and retention.
Uber Trips Analysis
June 1, 2026 – June 1, 2026
Processed and cleaned a dataset of 10K+ Uber trip records using Pandas and NumPy, handling missing values and datetime features for time-series analysis. Identified peak demand patterns on Mondays vs. 40% lower usage on Saturdays, providing a basis for dynamic driver allocation strategies. Conducted location-based clustering that revealed Manhattan as the primary trip origin, highlighting high-traffic zones for operational optimization.
GOVIRAL INFLUENCERS PROJECT
January 1, 2024 – January 1, 2024
An all-in-one content creation, management and analytics platform designed to streamline workflows for social media influencers. By centralizing key capabilities, the platform aims to optimize content distribution and increase audience engagement including gender and detection challenges. Developed analytics features to track influencer engagement and audience performance.
Udemy Courses Analysis
January 1, 2016 – December 31, 2016
Cleaned and transformed a 3.68K course dataset (12M subscribers) using Power Query, managing 20+ transformation steps for data integrity. Built a star schema model and authored DAX measures to track KPIs, including average price ($66.1) and total reviews (574K). Identified Web Development as the top-performing category (7.9M subs) and analyzed market distribution, finding 30.5% of courses are offered for free. Discovered a growth trend in course publications, peaking at 1,204 courses in 2016. Finding 30.5% of courses are Free, while the Average price tier accounts for 24.8% of the market share.
Sales Data Analytics & Business Intelligence System
January 1, 2011 – December 31, 2014
Designed and implemented a scalable Star Schema to connect a central Fact table with multiple Dimension tables (Date, Product Category, Territory, and Order Status), optimizing query performance for 23.6K order details. Developed custom DAX measures to visualize complex business metrics, including $30.1M SubTotal Amount, $2.9M Total Tax, and $916K Freight costs. Created time-series visualizations tracking order volume from 2011 to 2014, identifying a significant peak in mid-2013, and monitored order lifecycle through status distribution(Approved, Shipped, etc).
Artificial Intelligence Diploma
National Telecommunication Institute (NTI) / Huawei
January 1, 2026 – Present
Artificial Intelligence Diploma
Orange Digital Center (ODC) / Digital Hub (D-HUB)
January 1, 2026 – Present
AI Augmented Professional Development Skills
ALX Arabia
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background, multiple internships, and part-time roles indicate a proactive and continuous learning mindset. The diversity of projects, from academic to personal, showcases initiative and a broad interest in applying data science principles across various domains. Their experience as an instructor also suggests a collaborative and mentorship-oriented approach, which can be a strong cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates good communication skills through their role as a Machine Learning Instructor and project descriptions. Their project diversity and experience in different tools suggest adaptability and a willingness to learn. The 'Attention to Detail' and 'Innovative Thinking' soft skills listed align well with the analytical nature of a Data Science role.