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panduislami28 (panduislami28)

 

 

As a results-driven Data Analyst with a proven track record in Merchandise and Inventory analysis, I am dedicated to leveraging my quantitative skills and business acumen to drive data-driven decision-making. My experience at PT. Visi Berkat Indonesia demonstrates my ability to analyze large datasets to identify trends and optimize business processes. I successfully implemented inventory management strategies that reduced stockouts by 20% and increased product turnover by 25%. Additionally, I created interactive dashboards that provided actionable insights, leading to a 15% increase in sales. Currently completing a Full-Stack Data Analyst Bootcamp, with a strong foundation in SQL, Python, Tableau, and Power BI, I am further enhancing my technical skills to become a versatile data professional. With a background in merchandise analysis and a passion for data, I am eager to apply my skills and knowledge to contribute to a data-driven organization. My experience in managing large datasets and completing a Data Analytics boot camp has prepared me to deliver actionable insights.

Statistical Analysis Python MySQL Microsoft Excel SQL Server Microsoft Power BI

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User Name: panduislami28
Account Type: Personal Account
Date Registered: 23/07/2025 20:17:03 WIB
Last Seen: 10/08/2025 15:49:31 WIB
Provinsi: Banten
Kabupaten: Kota Tangerang Selatan
Website: https://pandu28analyst.carrd.co/
Online Hours: 0.98
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2024: Developed an interactive dashboard using Power BI to visualize Steam Game
sales data. The dashboard provides insights into top-selling games, player demographics, and revenue
trends.

2025: Analysis of demand for goods with recurring up and down trends on QCommerce-U for the period of August 2022. Analysis using Phyton to obtain an optimal forecasting model based on historical data from the previous 7 months.

2025: Developed an interactive dashboard using Power BI to visualize PaDi UMKM and Sales Order data. The dashboard provides insight into user trends, revenue trends, and seller - buyer trends.

 

 

 

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