m
mdnumanmiah

Md Numan Miah

@mdnumanmiah

KoboToolbox and M and E Data Specialist

Bangladesh
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
I build full-cycle M&E data systems that stop bad data before it starts. Why NGOs hire me over generic Excel freelancers: ✅ 1,993+ Household Surveys completed using KoboToolbox & XLSForm ✅ Expert in data cleaning, validation, and M&E reporting ✅ I design forms that prevent errors, not just fix them later Worked with research teams across Bangladesh. Let’s make your data reliable.... Plus d’infos

Compétences

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mdnumanmiah
Md Numan Miah
hors ligne • 

Voir mes services

Consulting en analyse de données
I will build kobotoolbox survey for ngo data collection
De80 $US / projetPlus de détails
Tableaux de bord des données
I will create ngo m and e dashboard in excel for donors
De10 $US / projetPlus de détails

Portfolio

Expérience professionnelle

Self_Level

Self Level

Temps plein • 4 yrs 2 mos

M&E Consultant | KoboToolbox Specialist

Jun 2023 - Oct 2024 • 1 yr 4 mos

Led end-to-end M&E data systems for TMSS field programs across 3 districts. Key Achievements: - Designed 15+ digital surveys in KoboToolbox/XLSForm serving 2,000+ households - Built advanced form logic: null-safe calculations with coalesce(), regex validation for BD mobile numbers, skip logic → Cut data cleaning time by 60% - Created real-time dashboards in Excel Power Query for weekly reports to program managers - Trained 25 enumerators on mobile data collection, reducing submission errors by 40% - Automated Monthly, Weekly & Event reports using Kobo API + Excel → Saved 12hrs/week Tools: KoboToolbox, XLSForm, Excel (Power Query, PivotTables), ODK Collect Impact: Ensured 99.8% data accuracy for donor reports to USAID & UN agencies

Monitoring Evaluation & Knowledge Management Officer | RDRS Bangladesh

Feb 2020 - Dec 2022 • 2 yrs 10 mos

Led Monitoring unit for RDRS, Bangladesh. - Led M&E for USAID-funded projects, managing data collection across 200+ households - Designed and implemented MEAL framework: baseline, midline, and final evaluations using KoboToolbox - Conducted 50+ field visits to verify data quality, reducing errors by 40% through enumerator training - Automated Monthly/Weekly/Event reports using Excel Power Query + Kobo API → Saved 10hrs/week - Trained 30+ staff on TAB Using & Suchana MIS Apps for real-time data entry - Impact: Ensured 98% data accuracy for donor reports to USAID, improving program decision-making Tools: KoboToolbox, XLSForm, Excel, SPSS, Suchana MIS, ODK Collect