I will build data science apps and ai dashboards in python streamlit or r shiny


Level 1
About this gig
Is your data trapped inside boring spreadsheets and static reports?
I turn raw data, scripts, and machine learning models into powerful interactive web applications using Python Streamlit and R Shiny. Instead of simple dashboards, I build dynamic data apps that allow users to interact with analytics in real time.
With a strong code-first approach, I create custom solutions tailored to your business, research, or startup needs using clean, scalable, and modern development practices.
What I Can Build:
- Interactive Data Dashboards
- AI & Machine Learning Web Apps
- Streamlit & R Shiny Applications
- Real-Time Analytics Platforms
- Data Visualization Tools
- Simulation & Forecasting Apps
- KPI & Business Intelligence Dashboards
- Custom Charts & Interactive Reports
Technologies I Use:
- Python (Streamlit, Plotly, Dash, Gradio)
- R Programming & Shiny
- Matplotlib & Ggplot2
- APIs & Data Integrations
- Machine Learning Models
Why Choose Me?
- Fully custom-coded solutions
- Modern and responsive UI
- Clean, scalable, and reusable code
- Fast communication & support
- Focus on performance and usability
Please contact me before placing an order so we can discuss your project requirements in detail.
Get to know Arqam Aly
Transforming Data and Code into Smart Business Decisions
Level 1
- FromPakistan
- Member sinceFeb 2026
- Avg. response time1 hour
- Last delivery2 days
Languages
English, Spanish
My Portfolio
FAQ
What is Streamlit and why should I choose it over Tableau or PowerBI?
Streamlit is a Python framework that turns scripts into shareable web apps. Unlike Tableau, which is purely for viewing data, Streamlit allows for user input, custom calculations, and integration with Machine Learning models. It is faster to build and often cheaper to host than enterprise BI tools.
What kind of data sources can you connect to the dashboard?
I can connect your app to almost any data source including Excel/CSV files, Google Sheets, SQL Databases (MySQL, PostgreSQL), and Rest APIs. For live data feeds, please contact me first so we can check the API requirements.
Python Streamlit vs. R Shiny – Which one should I choose?
It depends on your goal! If you need AI/Deep Learning integration or a modern tech-startup vibe, I recommend Python Streamlit. If you are in Healthcare, or need heavy Statistics, I recommend R Shiny. As a UC Davis Certified Expert, I can review your project and recommend the best stack for you
