You will get data cleaning and validation for your dataset using Python and Excel.
Project details
Is your dataset full of duplicates, inconsistent formats, or missing values? I'll clean it ā fast, thoroughly, with full transparency on every change.
š PYTHON (pandas)
ā Remove duplicates & near-duplicates
ā Handle missing/null values
ā Standardize formats, fix whitespace & encoding
ā Rename, restructure & reorder columns
ā Detect and handle outliers
ā Merge, filter, or split datasets
ā Jupyter notebook showing every transformation
š EXCEL / GOOGLE SHEETS
ā Remove duplicates & cross-sheet deduplication
ā Data validation & conditional formatting
ā Formula cleaning (TRIM, CLEAN, PROPER, VLOOKUP)
ā Sorting, filtering & pivot table setup
ā PDF to Excel conversion
š¦ YOU RECEIVE
ā Clean dataset (CSV or Excel)
ā Jupyter notebook (Python jobs)
ā Summary of all changes made
ā Original file always kept separate
š MESSAGE ME FIRST
ā Send a sample of your data
ā I'll confirm scope & the right package
š PYTHON (pandas)
ā Remove duplicates & near-duplicates
ā Handle missing/null values
ā Standardize formats, fix whitespace & encoding
ā Rename, restructure & reorder columns
ā Detect and handle outliers
ā Merge, filter, or split datasets
ā Jupyter notebook showing every transformation
š EXCEL / GOOGLE SHEETS
ā Remove duplicates & cross-sheet deduplication
ā Data validation & conditional formatting
ā Formula cleaning (TRIM, CLEAN, PROPER, VLOOKUP)
ā Sorting, filtering & pivot table setup
ā PDF to Excel conversion
š¦ YOU RECEIVE
ā Clean dataset (CSV or Excel)
ā Jupyter notebook (Python jobs)
ā Summary of all changes made
ā Original file always kept separate
š MESSAGE ME FIRST
ā Send a sample of your data
ā I'll confirm scope & the right package
What's included
| Service Tiers |
Starter
$10
|
Standard
$30
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 2 | 3 | 5 |
About Yousef
Data Scientist & ML Engineer | Python , Pandas , scikit-learn , NLP
Bilbeis, EgyptĀ - 6:22 am local time
I am a Data Scientist and Python Developer who helps businesses transform messy data into clean datasets, clear insights, and working ML solutions. Whether you need an open-source model fine-tuned for your specific use-case, a predictive model built from scratch, or complex SQL queries written to power your daily reports, I deliver clean, well-documented work on time.
Here is how I can help your business:
ā Machine Learning & Fine-Tuning: Building predictive models (classification, regression, clustering) and fine-tuning custom models to perfectly fit your business needs.
ā Data Cleaning & Wrangling: Taming messy data, handling nulls/outliers, and merging complex datasets using pandas and NumPy.
ā Exploratory Data Analysis (EDA): Designing clear, actionable charts and dashboards using matplotlib, seaborn, and plotly.
ā SQL & Database Management: Writing complex queries, aggregations, and joins for PostgreSQL, MySQL, and SQLite.
ā Natural Language Processing (NLP): Text classification, sentiment analysis, and named entity recognition using spaCy and NLTK.
ā Python Automation: Building data pipelines, automating repetitive tasks, and processing files efficiently.
Why work with me?
Because I am actively building my reputation on Upwork, earning a 5-star review from you is my absolute top priority. This means you get my undivided, dedicated attention, rapid communication, and highly competitive rates without compromising on quality. I treat your project as a partnership, not just a gig.
If you are not sure exactly what technical solution you needājust send me a message! I am always happy to look at your data problem and offer a clear game plan before you commit to anything.
Steps for completing your project
After purchasing the project, send requirements so Yousef can start the project.
Delivery time starts when Yousef receives requirements from you.
Yousef works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1
Client shares the dataset and describes the issues or goals
Step 2
I inspect the data and confirm the cleaning approach with the client