Hope Tatenda Mutema – Insightful Analytics, Smarter Solutions

Hello, I'm Hope Tatenda Mutema

Data · Actuarial · AI

A passionate data analyst, aspiring actuary, and curious AI enthusiast.

I love turning messy datasets into clear narratives, designing risk‑aware models, and experimenting with agentic AI systems that help organizations make smarter, faster decisions.

Recently, I’ve been exploring deep research agents, financial and insurance analytics, and ways to bring production‑ready AI into real products and workflows.

Welcome to my corner of the internet — where analytics, risk, and creative AI experiments meet.

GitHub LinkedIn

AI Enthusiast

Featured Projects

Deep Research Agent with Pydantic AI

Built a multi-step Deep Research Agent using Pydantic AI and GPT‑5‑mini that orchestrates DuckDuckGo web searches to generate structured, evidence-based reports on stock tickers and complex general topics.

Intent-aware stock vs. general research

Parallel deep dives with cited evidence

Python Pydantic AI GPT‑5‑mini DuckDuckGo search tools Structured research reports

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