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I will provide indepth business data analysis
data specialist
Started working in the field of data in 2023.
Skilled in Python, NumPy, Pandas, Matplotlib, Seaborn, Feture Engineering and basic Machine learning.
Focused on delivering insights and impactful results...
Über diesen Service
Do you want to understand your business performance, trends, and growth opportunities through data?
Im Arshad Ashraf, a data analyst with expertise in transforming raw business data into clear, actionable insights. Whether you need help understanding sales patterns, customer behavior, or performance metrics Ill provide a professional report tailored to your goals.
Services I Offer:
- Business data analysis (sales, marketing, customers, etc.)
- KPI calculation and dashboard reporting
- Trend and pattern identification
- Excel and Google Sheets summaries
- Visual charts and clean presentation
️ Tools I Use:
- Excel, Google Sheets
- Python (Pandas, Matplotlib)
- Power BI (on request)
Why Choose Me?
- Clean and professional reporting
- Business-friendly communication
- Accurate, insightful analysis
- Fast delivery with clear explanations
Please message me before placing your order to share your goals and data files!
Technologie:
Excel
•
Jupyter-Notizbuch
•
Tableau
Expertise:
Web-Analytics
•
Geschäftseinblicke
•
Zeitreihenanalyse
Programmiersprache:
Python
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FAQ
What do you need to get started?
I need your dataset (Excel, CSV, or any format), and a clear description of what you want to achieve—e.g., cleaning, analysis, visualizations, or features for modeling.
Can you handle large datasets?
Yes! I can work with large datasets (up to 1 million rows) depending on the complexity. Please message me first to confirm before ordering.
What tools do you use?
I mainly use Python (Pandas, NumPy, Matplotlib, Seaborn), Excel depending on your project needs.
Will you explain the results or insights to me?
Absolutely! I will provide a short written summary of insights, and I’m happy to explain the results clearly, even if you're not from a technical background.
