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mandy_kap

Mandy kap

@mandy_kap

academic papers, essays, research projects, literature reviews, and case studies

Kenia
Engels
Sommige informatie wordt in het Engels weergegeven.
Over mij
I am Mandy, I specialize in crafting top-notch academic papers, essays, research projects, literature reviews, and case studies across diverse disciplines. With a strong command of formatting styles (APA, MLA, Chicago, Harvard), I deliver well-researched, original, and properly cited content. Whether you need help with assignments, reports, or thesis support, I provide timely, plagiarism-free work tailored to your instructions. Let’s achieve academic success together!... Lees meer

Skills

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mandy_kap
Mandy kap
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Casestudy's
I will do history, ethics, creative writing, philosophy and journalism
Proeflezen
I will humanize and rewrite ai content professionally

Portfolio

Werkervaring

Data Analysis

Independent Freelancer • Freelance

Jan 2026 - Jan 20260 mos

I am a Freelance Data Analyst specialising in Python and Excel, with a strong focus on environmental and energy research. I help clients clean, analyse, and visualise complex datasets to extract actionable insights that drive informed decisions. For this project, I analysed renewable energy adoption trends in the United States and examined their impact on air quality. I collected data from multiple reliable sources, cleaned and merged datasets, and performed comprehensive statistical analysis to identify correlations between renewable energy usage and environmental indicators. Using Python (Pandas, Matplotlib, Seaborn) and Excel, I created interactive charts, dashboards, and summary tables that clearly communicated trends and insights. These highlighted patterns in energy adoption and air quality changes, making complex data easy to understand for researchers and decision-makers. The project provided actionable insights for organisations and individuals interested in sustainable energy policy, environmental management, and climate impact assessment. By presenting the data visually, I ensured that even non-technical stakeholders could grasp key findings and trends efficiently. This experience demonstrates my ability to handle large datasets, perform in-depth analysis, and produce professional, visually appealing outputs. I am committed to delivering high-quality data analysis and visualisation services that help clients understand complex datasets, make informed decisions, and communicate insights effectively.