Data cleaning & preparation
Turn messy spreadsheets and exports into a clean, consistent dataset you can trust.
- Missing values & duplicates handled
- Standardized formats and types
- Documented, repeatable Python scripts
Open to work
> Data Scientist
I turn messy, raw data into clean datasets, clear insights, and predictive models that help teams make better decisions.
I'm a final-year Computer Science student specializing in Data Science and AI, with two years of hands-on experience across the full data lifecycle β collecting and cleaning data, exploring it, modeling it, and presenting what it means in a way non-technical people can act on.
I completed the Microsoft Machine Learning Engineer track with the Digital Egypt Pioneers Initiative, where I was also recognized as a Team Leader. Today I'm extending that foundation into LLM applications, RAG systems, and automation.
Pick one service or combine them into a full pipeline, from raw data to a working model.
Turn messy spreadsheets and exports into a clean, consistent dataset you can trust.
Find the patterns in your data and get a clear report on what they mean for your business.
Forecast, classify, or recommend with models built, evaluated, and explained properly.
Design a normalized database and write the queries that answer your questions fast.
Collect the data you need from websites automatically, delivered structured and ready to analyze.
Digital Egypt Pioneers Initiative (DEPI) Β· Microsoft
Hands-on program building and deploying machine learning models with Microsoft tools β preparing raw data from multiple pipelines, developing pattern-recognition algorithms, and practicing on Azure cloud labs.
π Recognized as Team LeaderNational Telecommunication Institute (NTI)
Intensive 120-hour program on data cleaning, exploratory analysis, and insight extraction with Python, plus professional and freelancing skills.
β Final score 99%Alexandria National University Β· 2023 β 2027
More on GitHub.
Interactive app running a full multivariate analysis and comparing Logistic Regression against Random Forest on diagnostic data.
View codePower BI dashboard revealing sales, customer, product, and return patterns across a retail chain, powered by custom DAX measures.
View codeEnd-to-end pipeline that reads body-composition reports: layout detection, region classification, and text extraction.
Combines TF-IDF content similarity with SVD collaborative filtering, served through an interactive Streamlit interface.
SVR with PCA predicting home sale prices, deployed as a Streamlit app with a formal technical report.
Fully normalized PostgreSQL schema with an ETL process loading and validating clinical patient records.
Click any certificate to view it full size.
Experience, projects, skills, and education β read it right here or download a copy.
Have a dataset, a question, or a role in mind? I usually reply within a day.