t
taiwoemmanue932

Emmanuel.T

@taiwoemmanue932

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

Nigeria
Inglese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
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.... Continua a leggere

Competenze

t
taiwoemmanue932
Emmanuel.T
offline • 

Consulta i miei servizi

Pulizia dei dati
I will clean your messy excel and csv files using python pandas in 24 hours
Modello statistico e analisi
I will clean and analyze customer data with python visualizations

Portfolio

Esperienza lavorativa

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 • Lavoratore autonomo

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.