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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.

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AI Enthusiast

Major Projects

Civil Society Reporting & the CRPD: A Computational Text Analysis

Mixed-Methods NLP UN Human Rights Disability Rights

A mixed-methods computational text analysis project examining 337 English-language civil society alternative reports submitted to the UN Committee on the Rights of Persons with Disabilities (CRPD). Reports were collected via Selenium web automation from the OHCHR Treaty Body Database.

Applied term frequency analysis, TF-IDF, bigram analysis, GloVe word embeddings, Named Entity Recognition (spaCy), lexicon-based sentiment analysis (Bing), and LLM-assisted qualitative coding (NotebookLM) to identify policy priorities, regional variation, and intersectional vulnerability patterns across civil society reporting. All analysis conducted in R and Python within a Quarto literate programming environment.

R Python spaCy GloVe TF-IDF Selenium Quarto NLP LLM
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Other Projects

Corruption & HDI Visualizer

Analyzed the global correlation between Corruption (CPI) and Human Development (HDI). Built a publication-ready, Economist-styled scatter plot using R to highlight governance trends and outliers.

Economist-style aesthetic theme
Log-linear trend regression
R Language ggplot2 data.table ggthemes Data Viz
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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
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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
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R 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
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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
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R 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
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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
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R 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
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Latest Updates

Recent News and Insights

Exploring the frontiers of data science, actuarial innovation, and AI.

AI
April 2026

Building Production-Ready Agentic AI Systems

Deep research agents automating financial analysis workflows at scale.

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Data Science
March 2026

Mixed-Methods NLP Analysis of UN Civil Society Reports

TF-IDF, NER, and lexicon-assisted qualitative coding of 500+ CRPD reports.

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Actuarial
February 2026

Risk-Aware Modeling: Integrating AI into Actuarial Frameworks

Bridging classical actuarial science with machine learning for risk prediction.

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