Créspo Manhique

Data Analyst – Envirommental, Resettlement & Socioeconomic Data @ VerdAmbiente SA

About

Environmental and Social Data Analyst with experience in Resettlement Action Plans (RAP), socioeconomic and asset censuses, Environmental and Social Impact Assessments (ESIA), and Environmental Management Plans (EMP) in Mozambique.Experienced in the design and management of socioeconomic and asset surveys for Project Affected Persons (PAPs) and Project Affected Households (PAHs), supporting resettlement planning, compensation frameworks, and livelihood restoration programmes in accordance with Mozambican legislation and international environmental and social safeguards.Professional experience includes participation in projects in the mining, conservation, infrastructure, and development sectors, collaborating with multidisciplinary teams and stakeholders, including government institutions, local communities, and international organisations such as TotalEnergies, Megarruma Mining, APA Maputo, Minas de Revuboe, MICE, UNDP and so on.Familiar with international standards and national legal frameworks, including:- IFC Performance Standards, particularly PS5 – Land Acquisition and Involuntary Resettlement;World Bank Environmental and Social Framework (ESS5);- Mozambican Regulation on the Resettlement Process Resulting from Economic Activities (Decree No. 31/2012 of 8 August); and- Environmental Management Plans (EMP) and Environmental and Social Management Plans (ESMP).Experienced in stakeholder engagement, public consultation processes, vulnerable household identification, focus group discussions (FGDs), and community participation.Strong background in data systems for environmental and social projects, including data collection, cleaning, management, and analysis, using tools such as Python, R, STATA, Power BI, PostgreSQL, KoboToolbox, KoboCollect, ODK Tools and GIS tools (QGIS).Currently pursuing a Master’s degree in Statistics, Mathematics and Computing at Universidade Aberta de Lisboa, strengthening analytical and quantitative skills to support evidence-based decision-making in environmental and social projects.Explore my portfolio at: https://github.com/842980230/842980230Contact: 878980230E-mail: manhiquecrespo1@gmail.com

Country

Mozambique

City

Maputo

Industry

Environmental Services

Skill

Planejamento de projetos, Avaliação de riscos, Engajamento das partes interessadas, Inferência estatística, Amostragem, Probabilidade, Data Analytics, Matemática, Estatística, Computação, Análise de séries temporais, Scikit-Learn, TensorFlow, PyTorch, Aprendizado de máquina, Análise de negócios, Análise de Big Data, Fundamentos de Banco de Dados, Recursos Essenciais e Produtividade, Análise e Tratamento de Dados

Experience

Data Analyst – Envirommental, Resettlement & Socioeconomic Data

VerdAmbiente SA

2023-10 - Present · 3 yrs

Мапуту

- Managed the socioeconomic census database for 761 Project Affected Households (PAHs) and 903 potential encroachers, ensuring high-quality and reliable data for resettlement processes; -Designed and implemented digital data collection tools using KoboToolbox/KoboCollect, streamlining field data capture and management; - Supervised and trained enumerators in socioeconomic and physical asset surveys, maintaining strict adherence to data quality and ethical standards; - Conducted targeted data collection for 434 vulnerable populations, ensuring inclusion in resettlement planning and support programmes; - Facilitated seven Focus Group Discussions across seven communities, enhancing community engagement and participation of PAHs in resettlement decision-making; - Collaborated with District and Provincial Resettlement Commissions, providing strategic data analysis to support physical and economic resettlement planning; - Produced analytical reports and dashboards using Power BI and Excel, enabling continuous monitoring of census progress and identification of critical gaps; - Delivered validated and comprehensive datasets that directly informed the Resettlement Action Plan (RAP); - Increased field data collection efficiency by approximately 30% through digital tools and close supervision; - Ensured inclusion of vulnerable groups, providing essential insights for social and economic mitigation measures.

Education

Universidade Aberta

Statistics, Mathematics and Computing

2025-10 - 2027-10 · 2 yrs 1 mo

Key Coursework: - Advanced Probability Theory; - Advanced Statistical Inference; - Statistical Programming; - Generalized Linear Models; - Advanced Multivariate Statistics; - Design and Analysis of Experiments; - Advanced Sampling Methods; - Survival Analysis; - Computational Statistics and Simulation; - Statistical Learning; - Research Methodology; - Time Series Analysis; - Sampling;