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James Mwangi

James Mwangi

Data Scientist Associate

JKUAT | juja

Technologies

My Portfolio Highlights

My New Course

Exploratory Data Analysis in Python

Data Alchemist, weaving insights from the intricate tapestry of data landscapes.

My Work

Take a look at my latest work.

DataLab

A Visual History of Nobel Prize Winners

1Upvotes
DataLab

Project: Data Driven Product Management: Conducting a Market Analysis

project

What's in an Avocado Toast: A Supply Chain Analysis

project

Hypothesis Testing in Healthcare

project

Predicting Movie Rental Durations

DataLab

Project: Consolidating Employee Data

DataLab

Investigating Netflix Movies and Guest Stars in The Office

1Upvotes
DataLab

Project: Analyzing Online Sports Revenue

DataLab

Predicting Credit Card Approvals

1Upvotes
DataLab

Project: Hypothesis Testing in Healthcare

DataLab

Project: Exploring NYC Public School Test Result Scores

DataLab

Project: Hypothesis Testing with Men's and Women's Soccer Matches

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

DataCamp Data Scientist Associate Certificate

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

The Sparks Foundation | Nov 2023 - Present

Data Science and Business Analytics

- Executed diverse real-world projects - Honed programming and analytical skills - Expanded professional network through collaboration - Gained practical insights in data science and business analytics
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Meriskill | Nov 2023 - Dec 2023

Data Anayst

Conducted remote data analysis using Power BI - Created impactful reports and dashboards - Gained hands-on experience in business analytics - Honed analytical skills, contributing to actionable insights

jkuat | Jun 2021 - Aug 2019

student

N/A

My Education

Take a look at my formal education

Bsc Mathematics and Computer Science in Applied MathsJKUAT | 2021

About Me

James Mwangi

Applying mathematical reasoning to real-world problems is very satisfying. Finally, the data science field is growing rapidly and there is always new things to learn. This is something that I enjoy a lot as well: learning new content and sharing

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