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Abdul Rahman Mohd Ramli

Abdul Rahman Mohd Ramli

Tersedia
Administration Administrative Officer 0–2 years (Entry)
Maklumat Saya
Berasas di - Malaysia, Shah Alam
Negara asal - Malaysia
Jantina - male
Tarikh lahir - 17.04.1999
26
Tahap Ijazah - Bachelor's Degree
Jenis Ijazah - Business Administration
Status Pekerjaan - at Abridge Sdn Bhd
Sedia bekerja sebagai:
Banking, Finance & Investment - Data Analyst 0–2 years (Entry)
Data Analytics & Business Intelligence - Data Analyst 0–2 years (Entry)
Healthcare & Medical - Data Analyst 0–2 years (Entry)
Sedia untuk berpindah ke:
Selangor - Petaling Jaya
Selangor - Puchong
Federal Territory of Kuala Lumpur - Semua bandar
Kemahiran
Project Management
Business Analysis
Analytical Thinking
Data Analysis
Python
Microsoft Excel
Bahasa
English (EN) - Proficient
Bahasa Melayu (MY) - Native

Tentang saya

I’m a Data Analyst with a foundation in sales and marketing, where I learned how real business decisions are made and how data can shape customer behaviour. I care deeply about making decisions that are accurate, informed, and grounded in evidence. I believe data isn’t just numbers; it’s clarity. It’s the difference between guessing and growing.

I’m driven to turn raw information into meaningful insights that help teams make smarter decisions, refine strategies, and achieve company goals with confidence. Whether it’s analyzing trends, visualizing performance, or uncovering hidden opportunities, I want to transform data into insights that are easy to understand and impossible to ignore. 

At MyPapillon, I used Excel (Pivot Tables) to clean, organize, and analyze marketing data, enabling data-driven decisions that improved performance. Through my analysis, I increased sales by 75%, improve yearly GMV by 99% and boosted ROAS (Return On Ads Spend) by 204%. These results were achieved by understanding customer behavior, optimizing ad spend, and focusing on high-return campaigns. I’m now strengthening my technical skills in SQL, Python, and Power BI to deliver even deeper insights and more scalable analytics.

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05:35 11 Apr 2026
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