I'm a highly motivated data scientist with a strong analytical mindset and solid mathematical foundations. I enjoy applying artificial intelligence to drive decision-making and solve operational and strategic challenges across private, public, and international organizations, including the insurance and banking sectors. I excel in data mining, NLP, ML, and advanced data visualization, and I am actively expanding my expertise in retrieval-augmented generation (RAG) and AI agents using model context protocols. I am committed to robust engineering practices and continuous professional development. I have led and contributed to data science projects in banks, NGOs, and government agencies, delivering end-to-end solutions from conception to deployment. My experience spans building predictive models, automating statistical production with web apps, and collaborating with cross-functional teams to improve humanitarian responses and public-sector data initiatives. I am proficient with LLMs, AI agents, and modern data tooling, and I enjoy turning complex data into actionable insights for strategic decision-making.

Venâncio Tobias A. Munhangan e VMunhanga

I'm a highly motivated data scientist with a strong analytical mindset and solid mathematical foundations. I enjoy applying artificial intelligence to drive decision-making and solve operational and strategic challenges across private, public, and international organizations, including the insurance and banking sectors. I excel in data mining, NLP, ML, and advanced data visualization, and I am actively expanding my expertise in retrieval-augmented generation (RAG) and AI agents using model context protocols. I am committed to robust engineering practices and continuous professional development. I have led and contributed to data science projects in banks, NGOs, and government agencies, delivering end-to-end solutions from conception to deployment. My experience spans building predictive models, automating statistical production with web apps, and collaborating with cross-functional teams to improve humanitarian responses and public-sector data initiatives. I am proficient with LLMs, AI agents, and modern data tooling, and I enjoy turning complex data into actionable insights for strategic decision-making.

Available to hire

I’m a highly motivated data scientist with a strong analytical mindset and solid mathematical foundations. I enjoy applying artificial intelligence to drive decision-making and solve operational and strategic challenges across private, public, and international organizations, including the insurance and banking sectors. I excel in data mining, NLP, ML, and advanced data visualization, and I am actively expanding my expertise in retrieval-augmented generation (RAG) and AI agents using model context protocols. I am committed to robust engineering practices and continuous professional development.

I have led and contributed to data science projects in banks, NGOs, and government agencies, delivering end-to-end solutions from conception to deployment. My experience spans building predictive models, automating statistical production with web apps, and collaborating with cross-functional teams to improve humanitarian responses and public-sector data initiatives. I am proficient with LLMs, AI agents, and modern data tooling, and I enjoy turning complex data into actionable insights for strategic decision-making.

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Language

Portuguese
Fluent
English
Fluent

Work Experience

Data Scientist at Millennium BIM (International Bank of Mozambique)
July 25, 2025 - November 12, 2025
Implement data science projects from conception to deployment; perform exploratory and advanced statistical analyses, predictive modeling, and machine learning to identify patterns, trends, and business opportunities.
National Information Management Officer at iMMAP Inc. (NGO)
February 1, 2025 - February 1, 2025
Collaborated with the Coordination of Humanitarian Affairs (OCHA) and UN agencies to enhance humanitarian response effectiveness; developed and implemented information management strategies for humanitarian program cycles.
Statistician at National Institute of Statistics (INE)
December 1, 2023 - December 1, 2023
Led the production of Mozambique’s monthly Economic Activity Index; supervised national data collection for censuses and surveys; developed a Python-based web application to automate statistical production.
Statistician Consultant (Team Member) at Oxfam Mozambique, Maputo
December 1, 2018 - December 1, 2018
Evaluated environmental and social management system implementation in the extractive industry; supported monitoring and evaluation activities.
Statistician Consultant (Team Member) at Embassy of Finland, Maputo
December 1, 2016 - December 1, 2016
Conducted a baseline study on parliamentary capacity to regulate the extractive industry; contributed to governance-related program assessments.
Claim Processes Manager of Life and Non-Life Insurance at Fidelidade Moçambique – Companhia de Seguros, S.A.
March 1, 2013 - March 1, 2013
Managed life and non-life insurance claims portfolios; oversaw process improvements and operational performance.

Education

Master's Degree, Data Science at NOVA IMS Information Management School, Lisbon, Portugal
January 11, 2030 - January 1, 2023
Master's Degree, Actuarial Science at University Eduardo Mondlane, Maputo, Mozambique
January 11, 2030 - December 1, 2022
Honour’s Degree, Statistics at University Eduardo Mondlane, Maputo, Mozambique
January 11, 2030 - March 1, 2012

Qualifications

Data Engineering Foundations, AWS
January 11, 2030 - November 12, 2025
Management consulting in the digital age, BUDS/Yerun summer school
January 1, 2021 - November 12, 2025
Upper Intermediate 2 (English), British Council, Mozambique
January 1, 2020 - December 31, 2020

Industry Experience

Financial Services, Government, Non-Profit Organization, Education, Software & Internet