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FOR HIRING TEAMS / THE 60-SECOND VIEW

The right work.
The evidence behind it.

A quick route through my focus, experience, and public work—organized around the questions a hiring team needs to answer.

FOCUS

Data & analytics engineering, machine learning, and business intelligence

BASED IN

Damietta, EgyptArabic & English

WORK ARRANGEMENT

Remote roles, contracts, and paid project work

Experience & printable résumé Verified business inquiries
01 / Data & analytics engineering

Can the data be traced from source to a decision-ready model?

  • Python
  • SQL
  • ETL/ELT
  • Dimensional modeling
  • Airflow

Source handling, transformation rules, model grain, validation steps, and operational documentation.

IN PROGRESS

PixelFed Analytics Engineering

Analytics Engineering Lakehouse, Multi-Format Ingestion Engine, and Power BI Semantic Model

PUBLIC PROJECT

Stock Price Data Pipeline

An end-to-end automated data pipeline built with Apache Airflow, Apache Spark, MinIO, PostgreSQL, and Metabase.

PUBLIC PROJECT

Customer 360 — Banking ETL Pipeline

A multi-source ETL pipeline that consolidates banking, ATM, and credit card data into a single Customer 360 golden record, enforcing a strict three-rule exception matrix to quarantine non-conforming records before they reach the data warehouse.

02 / Machine learning & search intelligence

How are features, evaluation, and a useful output connected?

  • Python
  • Feature engineering
  • Model evaluation
  • scikit-learn

Dataset preparation, leakage-aware evaluation, notebooks, and interfaces that explain a model’s use.

PUBLIC PROJECT

Sohila Khaled Abbas · Applied ML & Search Intelligence Portfolio

Official portfolio, applied machine learning research paper, and autonomous decision-support agent for Sohila Khaled Abbas (Applied ML Intern & Search Intelligence Engineer at FlyRank AI | BI Developer).

PUBLIC PROJECT

DeepClean OS

A Python data-preparation framework and Streamlit application covering missing values, outliers, validation, and feature scaling.

03 / Business intelligence & automation

Can another person understand the KPI and repeat the workflow?

  • Power BI
  • DAX
  • Power Query
  • Excel / VBA
  • n8n
  • Docker

Report previews, semantic models, documented definitions, and repeatable automation patterns.

PUBLIC PROJECT

PwC Switzerland Virtual Case Experience

PwC Switzerland Virtual Case Experience: Enterprise Business Intelligence, Ralph Kimball Galaxy Semantic Model (VertiPaq Engine), DAX KPI Engineering & Executive Excel Application Architecture

PUBLIC PROJECT

Egyptian Cosmetics Analytics Engineering Platform

Enterprise Multi-Source ELT, SQL Server 2022 Kimball Data Warehouse, SCD Type 2, Automated Data Quality Quarantine & Power BI Analytics Lifecycle

IN PROGRESS

n8n Queue & Worker Stack

A documented queue-mode automation stack with Docker, Redis, PostgreSQL, worker scaling, and operational runbooks.

EXPERIENCE & CONTINUED PRACTICE

A little context
before the conversation.

My experience connects freelance BI work, my FlyRank AI internship, technical coaching, and agricultural research. The full résumé keeps the roles and dates in one place.

Public projects include learning and portfolio scenarios. Each case study explains its scope and limitations; course enrollment is shown separately from completed credentials.

Roles & dates Current coursework Professional recommendations

Professional overview reviewed Nov 1, 2026.

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