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English
$
USD
I will clean, data processing, data analysis using python and sql
Data Analyst, Python Automation Specialist, Web Dev
Hi there! Feeling overwhelmed by messy data or spending too much time on manual reports? I’d love to help!
I’m a passionate Data Specialist focused on transforming raw data into clear insights and aut...
About this Gig
Hello! Are you dealing with messy datasets, missing values, or duplicate records? I'm here to help!
I offer professional Data Cleaning and Preprocessing services using Python (Pandas/NumPy) and SQL to ensure your data is clean, well-structured, and ready for accurate analysis.
Services Include:
- Data Cleaning: Handling missing data, removing duplicates, and detecting outliers.
- Dataset Merging: Joining multiple tables or datasets efficiently.
- Data Transformation: Variable formatting and feature engineering.
- SQL Queries: Writing advanced SQL queries for precise data extraction.
- Exploratory Data Analysis (EDA): Descriptive statistics and insights extraction.
Why Choose Me?
- High accuracy & strong attention to detail
- On-time delivery guaranteed
- 100% Data privacy & strict confidentiality
- Revisions to ensure complete satisfaction
Technology:
Excel
•
Google Sheets
•
DataMatch Enterprise
•
SQL
Industry:
Services
•
Technology
•
Engineering
Data type:
Numeric
•
String
•
Date
•
Phone
•
Custom
FAQ
What do you need from me to start the project?
I just need the website link, file, or source of data, along with clear instructions on what fields/columns you want extracted or cleaned.
In what format will I receive the data?
I usually deliver the cleaned data in CSV, Excel, or JSON format. If you need SQL or other formats, I can provide that too.
Will the data be 100% accurate?
Yes, I use automated scripts along with quality checks to ensure accuracy. Minor inconsistencies (like missing fields) can be cleaned if you provide instructions.
Can you handle large amounts of data?
Absolutely. I can scrape and clean thousands (or even millions) of records, depending on your requirements. For very large datasets, delivery time may be adjusted.
