t
taiwoemmanue932

Emmanuel.T

@taiwoemmanue932

Kaggle certified, Python Data Cleaning, Pandas and Excel, EDA and Analysis

Nigeria
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
I'm Emmanuel Taiwo ,a Python Developer from Nigeria. Kaggle Certified in Python, Pandas & intro to Machine learning. I clean messy Excel/CSV and deliver analysis-ready data. Project 1: Telecom Customer Churn - Analyzed 7,000+ records, cleaned data, built EDA & churn insights to show why customers leave and how to retain them. Project 2: Customer Personality Analysis (2,240 rows) - Cleaned 38 missing values, removed duplicates, did EDA & segmentation to reveal age, income & spending patterns. Tools: Python, Pandas, Excel. Fast delivery, clear report, revisions.... Plus d’infos

Compétences

t
taiwoemmanue932
Emmanuel.T
hors ligne • 

Voir mes services

Nettoyage des données
I will clean your messy excel and csv files using python pandas in 24 hours
Modélisation et analyse statistique
I will clean and analyze customer data with python visualizations

Portfolio

Expérience professionnelle

Fiverr

Data Analyst | Excel & Python Data Cleaning Specialist

Fiverr • Freelance

Jan 2024 - Present • 2 yrs 9 mos

I help businesses clean and organize messy Excel and CSV files using Python Pandas. - Cleaned 7,000+ customer records for telecom churn analysis (26.5% churn rate analysis) - Specialize in removing duplicates, fixing formats, handling missing values - Deliver clean, analysis-ready data within 24 hours - Tools: Python, Pandas, Excel, Data Visualization - Projects: https://www.kaggle.com/code/taiwoemmanuel321/telecom-churn-why-high-paying-customers-leave This is the same process I use for my Fiverr gig: fiverr.com/s/d006Rgz

Personal_portfolio project

Customer Personality Analyst | Segmentation Specialist

Personal portfolio project • Indépendant

Dec 2023 - Present • 2 yrs 10 mos

I analyzed 2,240 customer records for personality and spending behavior analysis. - Cleaned data: fixed 38 missing income values, removed 24 duplicate customers - Performed EDA on age, income, spending, education, marital status - Created customer segmentation to identify high-value customers - Tools: Python, Pandas, Excel, Data Visualization - Project: http://kaggle.com/code/taiwoemmanuel321/customer-personality-analysis This is the same process I use for my Fiverr gig.