Md. Zahirul Islam, a Professional Master of Development Studies graduate from Jagannath University, excels as a Senior Project Associate at ARCED Foundation. With over 12 years of experience, Iβve managed 100+ projects in data analysis, impact evaluations, and monitoring & evaluation (M&E), collaborating with global partners like the World Bank, Oxfam, and Stanford University. Specializing in statistical tools (Stata, SPSS, R, Python) and visualization platforms (Power BI, Tableau), I design robust M&E systems and actionable dashboards. My work focuses on climate resilience, public health, and sustainable development, with projects like the Climate Risk Index and Healthcare Waste Management. A published researcher, Iβm passionate about data-driven insights and mentoring teams. Iβm eager to collaborate on open-source data tools and climate-focused initiatives.
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Air Pollution and Worker Productivity
Analyzed the impact of air pollution on worker productivity across industries in Bangladesh, using Stata and survey data for UC San Diego and University of Colorado Denver.
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Household Air Filter Project
Conducted field surveys and data analysis to evaluate the effectiveness of air filters in households, creating dashboards for UC San Diego with Power BI.
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Shaping Student Mindsets for Climate Action
Designed surveys and analyzed student responses to promote climate awareness, using SPSS for the World Bank.
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EZ Bike Battery Market Preferences
Conducted an incentivized survey on battery market preferences, analyzing consumer behavior with SPSS for Stanford University and ADB.
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Healthcare Waste Management Baseline
Led data collection and analysis for 18 health facilities in Chittagong Hill Tracts, creating dashboards with Power BI and SurveyCTO for USAID.
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Brick Kiln Tracker
Designed a system to monitor emissions from brick kilns across 43 districts in Bangladesh, integrating survey data and real-time reporting for the National University of Singapore.
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Impact Assessment of CDSP IV
Assessed the impact of the Char Development and Settlement Project IV in coastal chars, using Stata for statistical analysis in collaboration with IFPRI and IFAD.