Mohamed Farag Mohamed
DataAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data with less than a year in Excel, SQL, and Power BI for insightful data visualization
Passionate and detail-oriented fresh graduate in Artificial Intelligence from Delta University (Very Good GPA, Expected 2025), driven by a genuine love for turning data into meaningful insights that support smarter business decisions. Proficient in Excel (advanced functions, Pivot Tables, dynamic reporting), SQL for data querying, and Power BI for interactive dashboard development and data visualization. Experienced in collecting, cleaning, analyzing, and interpreting complex datasets to identify trends, patterns, and growth opportunities. Holds Google Data Analytics, Advanced Google Data Analytics, Google Business Intelligence, and IBM Data Analysis with Python certifications.
Delta University for Science and Technology
Bachelor of Science · Artificial Intelligence
N/A – June 30, 2025
Sales Performance Analysis & Dashboard
January 1, 2025 – December 31, 2025
Collected, cleaned, and analyzed sales data from multiple sources — ensured accuracy and consistency across all datasets. Built Power BI dashboards with DAX visualizing KPIs, revenue trends, regional performance, and growth opportunities for business stakeholders. Used SQL (Window Functions, CTEs) to identify patterns and trends across customer segments and product categories. Delivered data-driven recommendations that supported smarter business decisions on sales strategy and resource allocation.
Customer Churn & Retention Analysis
January 1, 2025 – December 31, 2025
Analyzed customer datasets to identify churn patterns, trends, and retention opportunities — presented findings with clear visual reports. Built cohort analysis and funnel tracking dashboards in Power BI to support business performance improvement decisions. Automated data cleaning and reporting pipelines using Python (Pandas) — improved data accuracy and reporting efficiency.
Price Trend Analysis & Forecasting
January 1, 2025 – December 31, 2025
Collected and analyzed pricing data — identified trends, anomalies, and growth patterns with structured Excel and Python analysis. Presented data-driven pricing insights with clear visualizations and summaries to support business decision-making.
Employee Churn Prediction
January 1, 2025 – December 31, 2025
Built predictive classification models identifying key churn factors — translated model outputs into actionable business recommendations.
Deep Learning — CNN & CNN-LSTM Models
January 1, 2025 – December 31, 2025
Built CNN and CNN-LSTM models for image classification and time series forecasting — demonstrates strong analytical and technical depth.
Google Business Intelligence
Google / Coursera
June 1, 2026 – Present
Advanced Google Data Analytics
Google / Coursera
June 1, 2026 – Present
Google Data Analytics Certificate
Google / Coursera
June 1, 2026 – Present
Data Analysis with Python
IBM / Coursera
June 1, 2026 – Present
Deep Learning
ITI (Information Technology Institute)
June 1, 2026 – Present
Generative AI Engineering
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse areas within data analysis and machine learning, indicating a broad interest and adaptability. The pursuit of multiple certifications shows a commitment to continuous learning and professional development. While the projects are academic, they align well with typical business intelligence and data analysis challenges, suggesting a good fit for a data-centric organizational culture.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail, good communication skills, and a collaborative mindset, which are crucial for data roles. Their passion for data-driven insights suggests a proactive and engaged approach to problem-solving. The academic background in AI provides a solid theoretical foundation.