I will build custom interactive streamlit data dashboards and web apps


About this gig
Turn your raw data into professional, interactive web dashboards with Streamlit!
Are you tired of static reports and messy spreadsheets? I specialize in building custom Streamlit dashboards that help businesses visualize their data, track KPIs, and make faster decisions. Whether you need a simple sales tracker or a complex multi-page business intelligence tool, I've got you covered.
What I will do for you:
Custom Interactive Apps: Build bespoke Streamlit web apps tailored to your business.
Advanced Data Visualization: Create dynamic charts (Plotly, Altair, Seaborn) that react to user input.
Data Cleaning & Processing: Handle messy Excel/CSV files and prepare them for analysis.
Multi-Page Layouts: Organize complex data into clean, easy-to-navigate tabs and pages.
Deployment Support: Help you host your app on Streamlit Cloud so you can share it with anyone.
Why work with me?
Python Specialist: Deep expertise in Pandas and Streamlit for robust data handling.
Business Focused: I don't just build charts; I build tools that solve business problems.
Fast & Reliable: Quick turnaround times with a focus on clean, bug-free code.
Please contact me before ordering to discuss your specific data
Get to know Hashir Khan
Data Analyst, Streamlit and Power BI Expert
- FromPakistan
- Member sinceJan 2026
- Avg. response time1 hour
Languages
Urdu, English
My Portfolio
FAQ
Q: Do I need to provide the hosting for the Streamlit app?
A: No! I can help you deploy your app for free using Streamlit Cloud. You'll just need a GitHub account, and I will guide you through the process.
Q: Can you work with my existing Excel or Google Sheets data?
A: Absolutely. I can connect your Streamlit dashboard directly to Excel files, CSVs, or even live Google Sheets for real-time updates.
Q: Will I get the source code?
A: Yes, I provide the full Python source code for every project so you have complete ownership of your tool.
Q: Can the dashboard handle large datasets?
A: Yes, I use optimized Pandas techniques to ensure your Streamlit app remains fast and responsive even with thousands of rows of data.

