Hope Tatenda Mutema – Insightful Analytics, Smarter Solutions

Hello, I'm Hope Tatenda Mutema

A passionate data analyst and aspiring actuary.

I specialize in transforming data into actionable insights and building models that help organizations make better decisions and manage risk.

Welcome to my space, where analytics meets real world impact.

Featured Projects

Health Insurance Risk Modeling

Built regression-based cost models in Python to quantify how age, BMI, number of children, smoking status, and region influence annual medical insurance charges and risk tiers.

Smoker vs non‑smoker risk gaps

Age & BMI impact on charges

Python pandas scikit‑learn Linear & Ridge Regression

Netflix Movie Ratings Regression

Applied multiple regression in R to analyze how genre, viewing hours, global release, and season impact Netflix movie ratings across diverse content.

Multi-Variable Analysis R OLS Regression

Pathfinder AI AI-Driven Sustainable Communities Impact Challenge

Built AI-powered platform using Agentic AI with n8n to extract data from relevant sources and deliver personalized CTE & dual-enrollment recommendations for DC students.

Creator & Builder n8n Workflows AI for Good

Ratings & Global Reach Analysis

Applied Chi-square tests & regression in R to explore statistical relationships between Netflix movie ratings and worldwide availability patterns.

Chi-Square Test Regression R

Netflix Global Availability & Ratings

Applied simple linear regression in R to analyze how global availability impacts Netflix movie ratings, revealing statistical patterns in worldwide content performance.

Linear Regression R Data Analysis

Spotify Song Popularity Drivers

Analyzed 1M+ Spotify tracks in R exploring how danceability, energy, genre, duration, and temporal trends influence song popularity using correlation and regression models.

1M+ Songs Multi-Feature Analysis R