I will do python data analysis using pandas numpy and matplotlib
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Turning Messy Data Into Clear Answers
Got a spreadsheet full of duplicates, missing values, or inconsistent
formatting? Or data on a website you need extracted into a usable
file? I help businesses, students, and researchers turn messy data
into clean, structured, actionable datasets. I solve this using
Python Pandas for cleaning and transformation, NumPy for numerical
operations, and Matplotlib for visualization.
What I Offer:
- Data Cleaning & Preprocessing
- Web Scraping (Python)
- Data Extraction (PDF, CSV, Excel, web)
- Excel/CSV Data Transformation
- Exploratory Data Analysis (EDA)
- Data Visualization (charts, graphs)
- Basic Statistical Analysis
- Business & Sales Data Analysis
Whether for a business report, research, or personal project, I
deliver clean, well-organized, easy-to-understand results.
Why work with me?
- Clear communication
- Realistic timelines, honest scoping
- Careful data handling
- Deliverables that are genuinely usable
Message me your dataset or project details, and I'll confirm what's
possible before you order no surprises.
Tecnología:
Excel
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Hojas de cálculo de Google
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Python
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Otros
FAQ
What file formats can you work with, and what will I receive?
I work with CSV, Excel, JSON, and PDF files, plus website data via scraping. You'll get a cleaned CSV/Excel file and a PDF or Excel report with charts and key findings. A Jupyter Notebook can be added on request
Do I need to provide the website URL for web scraping?
Yes. Please share the exact website URL(s) along with the specific data or fields you want extracted, so I can confirm the scope before starting.
What exactly does "data cleaning" include?
It includes removing duplicate entries, fixing inconsistent formatting, handling missing or null values, correcting data types, and standardizing columns so your dataset is accurate and ready to use.
What Python tools do you use for analysis?
I primarily use Pandas for data manipulation and cleaning, NumPy for numerical operations, and Matplotlib for creating charts and visualizations.
What format will I receive the final files in?
Typically a cleaned CSV or Excel file, along with a PDF or Excel report containing charts and summaries. A Jupyter Notebook with the code can be included as an add-on if requested.
Can you handle large datasets?
Yes, within the limits listed in each package. If your dataset is larger than what's listed, please message me first so I can review it and provide an accurate quote and timeline.
I have a custom request not listed in your packages — can you still help?
Most likely, yes. Send me your project details before ordering, and I'll let you know what's possible and recommend the right package or a custom offer.
How many revisions are included?
Revisions are listed per package (see gig packages above). If something needs adjusting, just let me know clearly what should change, and I'll take care of it within the included revision count.
: Do I need to provide the dataset myself?
For most orders, yes — you provide the raw file. If your project involves web scraping instead, I'll gather the data from the website(s) you specify.
Are there limits on what you can scrape from websites?
Yes. I only scrape publicly accessible data and follow each website's terms of service and robots.txt rules. I can't access data that requires bypassing logins, paywalls, or other access restrictions.

