You will get a clean, well-prepared dataset ready for analysis or machine learning
Project details
You will get clean, structured, and analysis-ready datasets that save you hours of work and boost your project’s accuracy. With hands-on experience in real-world data cleaning and preprocessing, I care deeply about helping businesses and analysts make smarter data-driven decisions. The work I deliver is reliable and tailored to your needs.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$10
|
Standard
$20
|
Advanced
$40
|
|---|---|---|---|
| Delivery Time | 2 days | 2 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10
Additional Revision
+$5About Esraa
Data Scientist | NLP & Computer Vision Specialist | Python & SQL
Tanta, Egypt - 5:06 am local time
As a Data Scientist specialized in Machine Learning and predictive analytics, I help businesses leverage their data to optimize processes and make smarter, evidence-based decisions. I don’t just analyze numbers; I build solutions.
Whether you need to predict future trends, automate manual workflows, or visualize complex KPIs, I manage the full data lifecycle from cleaning messy datasets to deploying robust ML models.
My Core Expertise:
Predictive Modeling: Building Custom ML & DL models (Regression, Classification, NLP, Computer Vision).
Data Insight: Advanced EDA and interactive dashboards using Tableau, Power BI, and Plotly.
Data Engineering: Automating data collection (Web Scraping/APIs) and preprocessing pipelines using SQL and Python.
Deployment: Transforming models into usable applications.
I combine technical rigor with clear communication to ensure the final deliverable solves your specific business problem.
Ready to unlock the potential of your data? Let's discuss your project!
Steps for completing your project
After purchasing the project, send requirements so Esraa can start the project.
Delivery time starts when Esraa receives requirements from you.
Esraa works on your project following the steps below.
Revisions may occur after the delivery date.
Initial data inspection
Check for missing values, duplicates, and data types.
Data cleaning
Handle missing values, remove duplicates, and fix data types.