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Yasir101-hi/README.md

Yasir Awad

Data Analyst | Business Intelligence | SQL | Python | Power BI

Data analyst with a Petroleum Engineering background and a practical portfolio spanning retail, education, global workforce trends, and energy operations. I build reproducible analyses and decision-focused dashboards that connect reliable data preparation with clear KPIs, business interpretation, and actionable recommendations.

Based in Cairo, Egypt and open to Data Analyst and Business Intelligence opportunities across the GCC and remote teams.

LinkedIn Email Email

Core Skills

Area Skills
Business Intelligence Power BI, DAX, Power Query, KPI design, dashboard development
Data Analysis Python, Pandas, NumPy, data cleaning, exploratory analysis, validation
SQL & Data SQL, Microsoft SQL Server, relational modeling, joins, CTEs, window functions
Visualization Power BI, Matplotlib, Seaborn, executive reporting, data storytelling
Workflow Excel, Jupyter Notebook, Git, GitHub, reproducible documentation
Domain Knowledge Retail, education, petroleum production, inventory, customer analytics

Featured Projects

Saudi Retail BI Dashboard

Saudi Retail BI Dashboard

Four-page Power BI solution for revenue, profitability, customer behavior, branch performance, and inventory risk.

Highlights: 965.79K revenue, 38.86% margin, 500 customers, and 17 reorder-required products.

Tools: Power BI, DAX, Power Query, data modeling

View project

University Database Analysis

University Database Analysis

End-to-end academic analytics project covering student success, teaching quality, enrollment, and course capacity.

Highlights: SQL-based data model, Python validation, and a multi-page Power BI report.

Tools: SQL Server, Python, Power BI, DAX

View project

Oil Well 807 Production Analysis

Oil Well #807 Production Analysis

Evidence-based analysis of oil-rate decline, water cut, reservoir pressure, operating hours, and intervention signals.

Highlights: 2,939 daily observations, 89.8% oil-rate decline, and 53.3% pressure decline.

Tools: Python, Pandas, Matplotlib, time-series analysis

View project

Global Data Science Survey Analysis

Global Data Science Survey Analysis

Reproducible analysis of participation, roles, geography, gender representation, and programming-language trends.

Highlights: 106,301 responses across five Kaggle survey editions from 2017 to 2021.

Tools: Python, Pandas, Jupyter, Matplotlib, Seaborn

View project

What I Bring

  • Translate business and operational questions into measurable KPIs.
  • Clean, validate, and document data before presenting conclusions.
  • Build dashboards for executive monitoring and detailed analysis.
  • Combine analytical findings with practical business recommendations.
  • Communicate evidence limits clearly and avoid unsupported claims.

Education

Bachelor of Engineering in Petroleum Engineering UCSI University, Malaysia

Certifications

  • Python for Data Science, AI & Development - IBM
  • Excel Basics for Data Analysis - IBM
  • Engineering for New Energy - APA Group / Forage
  • Oil & Gas Industry Operations and Markets - Duke University

Contact

Popular repositories Loading

  1. global-data-science-survey-analysis global-data-science-survey-analysis Public

    Python analysis of Kaggle Data Science Survey 2017–2021 exploring programming languages, salary, education, gender representation, and regional participation trends.

    Jupyter Notebook 1

  2. Yasir101-hi Yasir101-hi Public

  3. oil-well-807-analysis oil-well-807-analysis Public

    Python-based oil well production analysis using field data, decline curve analysis, water cut trends, and EOR evaluation.

    Jupyter Notebook

  4. DoctorCV DoctorCV Public

    DoctorCV

    TypeScript

  5. retail-business-intelligence-dashboard retail-business-intelligence-dashboard Public

    Power BI retail business intelligence dashboard for sales performance, customer behavior, inventory risk, and executive KPI reporting.

  6. university-database-analysis-sql-python-powerbi university-database-analysis-sql-python-powerbi Public

    End-to-end university database analysis using SQL Server, Python, and Power BI to analyze student success, course capacity, teaching quality, prerequisites, and academic performance.

    Jupyter Notebook