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Registration: 25.06.2026

Philip Assad

Specialization: Data Analyst
— Accounting & Finance graduate (E-JUST, 2025) with hands-on experience in business operations, procurement, inventory management, and financial reporting. — Skilled in SQL (PostgreSQL), Python (Pandas, Matplotlib, Plotly), Excel (Power Query, Pivot Tables), and Power BI. — Analytics projects portfolio: LTV/churn analysis on 49K+ customers, financial analysis on 500K+ rows, Python job-market trends analysis. — Practical knowledge of credit risk analysis, budget variance analysis, cohort analysis, and KPI reporting. — Open to remote Junior Data Analyst roles, freelance contracts, and short-term projects.
— Accounting & Finance graduate (E-JUST, 2025) with hands-on experience in business operations, procurement, inventory management, and financial reporting. — Skilled in SQL (PostgreSQL), Python (Pandas, Matplotlib, Plotly), Excel (Power Query, Pivot Tables), and Power BI. — Analytics projects portfolio: LTV/churn analysis on 49K+ customers, financial analysis on 500K+ rows, Python job-market trends analysis. — Practical knowledge of credit risk analysis, budget variance analysis, cohort analysis, and KPI reporting. — Open to remote Junior Data Analyst roles, freelance contracts, and short-term projects.

Portfolio

Sales Analysis

This project analyzes sales data from a retail business using PostgreSQL, focusing on three core financial metrics: customer lifetime value, cohort revenue trends, and churn behavior. The goal is to move beyond surface-level revenue numbers and uncover the underlying patterns that drive or threaten, long-term business performance.

Financial Analysis Dashboard Customers Cost Centers Excel

This project analyzes customer credit risk, cost estimation accuracy, and revenue impact from returns across the company's customer segments and cost centers from 2021–2024. The goal is to move beyond surface-level metrics and uncover the underlying patterns that drive — or threaten — cash flow stability, operational efficiency, and net revenue health.

Data Jobs Analysis

This project analyzes job market demand for data professionals across three key dimensions: skill trends throughout the year, skill requirements by job role, and compensation for Data Scientists in the United States. The goal is to move beyond surface-level job postings and uncover the underlying patterns that drive hiring decisions, skill priorities, and salary benchmarks across the data industry.

Skills

SQL
PostgreSQL
Python
Pandas
Matplotlib
Plotly
Excel
Power Query
Power BI
Git
GitHub
VS Code
Churn Analysis
LTV Segmentation
Cohort Analysis
Credit Risk Analysis
Budget Variance Analysis
KPI Reporting
Data Cleaning
Data Visualization
Business Intelligence
Financial Reporting
Inventory Management
Business Operations
Procurement
Sales Analysis

Work experience

Operations, Procurement & Business Analyst
since 2024 - Till the present day |Family Business
SQL, PostgreSQL, Python, Pandas, Excel, Power BI, Power Query
● Managed day-to-day operations for a diving equipment business covering sales, procurement, inventory, and finance activities. ● Maintained revenue, expense, and inventory records using Excel to support operational decision-making. ● Coordinated supplier purchases and monitored stock levels to improve product availability. ● Handled B2B sales orders and customer relationships for corporate clients. ● Tracked inventory movement and warehouse records to support inventory accuracy. ● Prepared operational reports and monitored business performance metrics. ● Worked across multiple business functions, gaining practical exposure to real-world business processes and data-driven decisions.

Educational background

Accounting & Finance (Bachelor’s Degree)
2020 - 2025
Egypt-Japan University of Science and Technology

Languages

ArabicNativeEnglishUpper Intermediate