I will clean preprocess and prepare your dataset for analysis

Is your dataset full of missing values, duplicates, outliers, 

or inconsistent formats? I will transform your raw, messy data 

into a clean, structured, ML-ready CSV fast and professionally.

I am a Python developer associated with IIT Ropar's Minor in 

Artificial Intelligence program, with 5 completed data cleaning 

projects across real-world domains including astrophysics, 

healthcare, e-commerce, finance, and social media analytics.

WHAT I WILL DO FOR YOU:

-Remove duplicates and irrelevant columns

-Handle missing values (imputation or removal)

-Fix inconsistent formats (dates, text, numbers)

-Detect and cap outliers (Winsorization)

-Standardize and normalize features

-Encode categorical variables for ML readiness

-Merge multiple datasets into one clean source

-Deliver a clean, documented CSV output

WHAT YOU WILL RECEIVE:

-Cleaned CSV file ready for analysis or modeling

-Jupyter Notebook with every step documented

-Brief summary of all changes made

-0 missing values in the final output (guaranteed)

My project samples here: github.com/arinskyyyy/data-cleaning 

Message me before ordering if you have a large or complex dataset I am happy to discuss your specific needs.