I will do python data cleaning sql database querying and eda
About this Gig
Messy data delaying your business insights or machine learning pipelines? I will clean, query, and transform your raw datasets using Python and SQL to make them 100% production-ready.
What I Offer:
Python Data Cleaning: Handling missing values, removing duplicates, structural formatting, fixing data types, and handling structural anomalies using Pandas and NumPy.
SQL Database Querying: Writing optimized, clean queries utilizing Joins, Window Functions, Aggregate Operations, and subqueries to extract targeted metrics.
Exploratory Data Analysis (EDA): Uncovering hidden distributions, tracking correlation matrices, and creating clear summary visualizations.
Feature Preprocessing: Outlier handling, category encoding, and data scaling to get your data structured perfectly for analytics.
Deliverables:
You will receive fully commented Python Jupyter Notebooks (.ipynb), clean script files (.py), structured SQL query scripts (.sql), and your polished datasets in CSV/Excel formats.
Please send me a short message detailing your dataset format and your analytical goals before placing your order so we can outline the project perfectly!
FAQ
What libraries do you use for Python data cleaning and analysis?
I primarily use Pandas and NumPy for efficient data cleaning, preprocessing, and manipulation. For Exploratory Data Analysis (EDA) and visualizations, I leverage Matplotlib and Seaborn to build clear statistical plots.
Can you work with massive databases or cloud servers?
Yes! I can write optimized SQL queries for local database dumps (.sql files) or connect directly to standard relational databases. For massive datasets, I ensure queries use efficient joins and indexing to minimize processing load.

