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MARY A
@mary1995
STATISTICAL DATA ANALYSIS,WEBSITE DEVELOPER,WEB APPLICATION,LANDING PAGE
Kenya
Chi sono
From raw data to intelligent web solutions. With a Master's in Applied Statistics and nearly a decade of experience, I don't just build landing pages or software. I engineer them for peak performance. I create responsive websites, full stack applications, and high conversion landing pages backed by AI augmented logic and statistical data analysis driven precision using Python, R, STATA, JavaScript, and TABLEAU. Expect clean code, smart design, and measurable results. Let's turn data into insights and insights into action today.
Competenze
MARY A
offline •
Tempo di risposta medio: 1 ora
Consulta i miei servizi
Modello statistico e analisi
I will do statistical data analysis using r,stata,python,spss
Siti web personalizzati
I will build custom websites, landing pages, web apps, software dev
Esperienza lavorativa
Web & Software Designer
NG
Dec 2025 - Mar 2026 • 3 mos
Designed and launched responsive websites and high conversion landing pages for donor campaigns and program outreach. Built custom internal software tools to automate data collection and reporting workflows. Used HTML, CSS, JavaScript, and Python to create user friendly interfaces. Collaborated with program teams to translate needs into functional web solutions. Delivered mobile first designs that improved stakeholder engagement and operational efficiency.
Data Analyst
Data Analyst (NGO / Non-Profit Sector)
Jul 2017 - Nov 2021 • 4 yrs 4 mos
Collect, clean, and analyze program data (e.g., beneficiary reach, outcomes, survey data) using tools like R, Python, STATA, or SPSS. Develop and maintain dashboards and automated reports (using Power BI, Tableau, or similar) for real-time program monitoring. Design and analyze surveys and evaluations to assess program impact and beneficiary needs. Prepare compelling visualizations, reports, and presentations for internal teams, senior management, and external donors/funders. Ensure data integrity and ethical handling in compliance with organizational and sector standards. Collaborate with program officers, M&E (Monitoring & Evaluation) teams, and field staff to define key metrics and data collection processes.
