You will get a clean & preprocessed data the will help you in your next step


Project details
ensuring your raw data is transformed into a structured, error-free, and analysis-ready format. With expertise in Python (Pandas, NumPy), SQL, and Excel, I handle missing values, duplicate removal, data standardization, and formatting to optimize your dataset.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$30
|
Standard
$40
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 4 |
Number of Pages Mined/Scraped | 3 | 5 | 7 |
Number of Sources Mined/Scraped | 5 | 10 | 15 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$5About Ahmed
Aspiring Data Scientist | AI Enthusiast
Shibin al Kawm, Egypt - 3:26 am local time
Technical Skills & Expertise:
Programming & Data Manipulation: Proficient in Python, leveraging libraries such as Pandas, NumPy, and Matplotlib for data analysis and visualization.
Databases & SQL: Skilled in writing optimized SQL queries to extract, manipulate, and analyze structured data.
Machine Learning & AI: Experienced in applying supervised and unsupervised learning techniques, including regression, classification, and clustering models.
Data Visualization & Business Intelligence: Adept at using Tableau, Power BI, and Excel to create interactive dashboards and reports for insightful data storytelling.
Web Scraping & Automation: Comfortable working with BeautifulSoup and Selenium to extract valuable information from online sources.
Statistics & Problem-Solving: Strong grasp of statistical methods, probability, and optimization techniques, actively practicing Python problem-solving on HackerRank.
Professional Experience:
Worked on real-world data science projects, applying data cleaning, exploratory data analysis (EDA), and predictive modeling techniques.
Created interactive dashboards using Power BI, improving data accessibility for stakeholders.
Gained exposure to web scraping, feature engineering, and model evaluation, strengthening his analytical and technical capabilities.
Notable Projects :
Sales Data Analysis – Conducted data cleaning and exploratory analysis on sales data using Pandas and Matplotlib to identify revenue trends.
Match Schedule Web Scraping & Analysis – Extracted and analyzed sports match schedules using BeautifulSoup, identifying trends in match timings and locations.
Driver Drowsiness Detector – Developed a deep learning-based CNN model to detect driver fatigue, aiming to enhance road safety.
Steps for completing your project
After purchasing the project, send requirements so Ahmed can start the project.
Delivery time starts when Ahmed receives requirements from you.
Ahmed works on your project following the steps below.
Revisions may occur after the delivery date.
Final Review with the client
Before we proceed with the project delivery, let’s do a quick review to ensure everything meets your expectations.