You will get informative data analysis under $30
Project details
I provide professional Python web scraping, data mining, and data analysis services. Using libraries like Pandas, BeautifulSoup, and Scrapy, I will extract clean data from your target websites or analyze your existing datasets. I deliver well-structured, clean Excel or CSV files tailored to your business needs, ensuring high accuracy and fast delivery
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$40
|
Advanced
$90
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 2 | 3 | 5 |
Number of Pages Mined/Scraped | 40 | 410 | 1010 |
Number of Sources Mined/Scraped | 1 | 3 | 5 |
Frequently asked questions
About Tshering
Data Scientist And Data Analyst / Excel Expert
Thimphu, Bhutan - 9:04 am local time
I am an aspiring Data Analyst currently pursuing my studies in Data Science. While I am early in my professional freelance journey, I bring an immense passion for data, a strong theoretical foundation, and a sharp eye for detail. I am highly adaptable, a clear communicator, and deeply committed to continuous learning and growing alongside the projects I take on.
Independent Data Science & Analytics Practice
Actively developing data-driven solutions and predictive models, with a strong focus on tabular data manipulation, exploratory data analysis (EDA), and Natural Language Processing (NLP).
Key Experience & Highlights:
Kaggle Competitions: Regularly compete against thousands of global participants, consistently achieving top-tier double-digit rankings by engineering high-performing features and optimizing machine learning models.
Data Pipeline Development: Experienced in cleaning messy datasets, handling missing values, and performing statistical analysis to uncover actionable insights.
Technical Toolkit: Proficient in Python, Pandas, NumPy, Scikit-Learn, and NLP frameworks to solve complex data problems.
Committed to delivering clean, well-documented code and clear, informative analytical insights for client projects.
Steps for completing your project
After purchasing the project, send requirements so Tshering can start the project.
Delivery time starts when Tshering receives requirements from you.
Tshering works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Review & Data Assessment
I will review your provided target URLs or dataset files to ensure all necessary data fields are accessible, verify the structure, and confirm the project scope with you before writing any code.
Python Scripting, Scraping, or Analysis
I will build and run the Python script to scrape the requested data or perform the analytical processing. I thoroughly clean the data to remove duplicates, missing values, or formatting errors