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I will create an interactive power bi dashboard with predictive analytics
Anas
About this gig
Turn your raw data into a clear, decision-ready dashboard. I build interactive BI dashboards in Power BI and Python (Pandas, Plotly, Streamlit) that turn spreadsheets, databases, or APIs into dashboards your team can actually use.
What I offer:
- Clean data pipelines connecting your source (Excel, CSV, SQL database, or API) to the dashboard
- - Interactive charts, filters, and drill-downs for KPIs, trends, and comparisons
- - Optional predictive analytics: forecasting, trend projection, or anomaly detection built into the dashboard
- - Delivery as a shareable Power BI report or a standalone Python web app
Background: I'm a Data Scientist / AI-ML Engineer with hands-on experience in machine learning, data analysis, and automation, including an R&D internship at Suprajit and freelance projects building data-driven tools for clients.
Send me your data and what decisions you need the dashboard to support, and I'll recommend the best setup before you order.
Get to know Anas
Anas
- FromMorocco
- Member sinceSep 2019
- Avg. response time1 hour
Languages
English, Arabic, French
Hi, I’m Anas Bouteffah — a passionate AI and Data Science enthusiast with a strong background in developing intelligent solutions across various domains. I bring expertise in machine learning, deep learning, data analysis, software integration, and web application development, with a focus on delivering practical, high-impact results.
I’m always excited to collaborate on innovative challenges — let’s turn your data into smart solutions
FAQ
What data sources can you connect to the dashboard?
Excel, CSV files, SQL databases, and most REST APIs. Share your source and I'll confirm it's supported before we start.
What does the predictive analytics part include?
Trend forecasting and key metric predictions using regression or time-series models, added as a dedicated dashboard section.
What will I receive at the end?
A Power BI file (.pbix) or a web-based dashboard, plus a short walkthrough so your team can use it independently.
