You will get Data-driven app with Python streamlit
Project details
Looking for a dynamic and interactive data-driven app? You’re in the right place! 🚀
I will build your user-friendly web applications using Streamlit, a Python framework designed for creating data-centric solutions with speed and simplicity. Whether you need a dashboard, a data visualization tool, or a machine learning app, I’ve got you covered!
What I Offer:
✅ Custom Dashboards: Interactive and visually appealing dashboards to analyze and explore your data.
✅ Data Integration: Connect your app to databases, APIs, or files (CSV, Excel, etc.).
✅ Machine Learning Interfaces: Deploy ML models and create interfaces for predictions.
✅ Interactive Widgets: Add sliders, dropdowns, forms, and more for user interaction.
✅ Data Visualizations: Stunning charts and graphs using Matplotlib, Seaborn, or Plotly.
Why choose me? I’m a data expert with years of experience building dashboards in tools like Excel, Power BI, Tableau, Google Data Studio, Jupyter Notebooks, and more. I have worked with a wide range of clients across various industries, from healthcare professionals to senior managers. I am confident I can meet your data needs and would love to build a long-term partnership with you.
I will build your user-friendly web applications using Streamlit, a Python framework designed for creating data-centric solutions with speed and simplicity. Whether you need a dashboard, a data visualization tool, or a machine learning app, I’ve got you covered!
What I Offer:
✅ Custom Dashboards: Interactive and visually appealing dashboards to analyze and explore your data.
✅ Data Integration: Connect your app to databases, APIs, or files (CSV, Excel, etc.).
✅ Machine Learning Interfaces: Deploy ML models and create interfaces for predictions.
✅ Interactive Widgets: Add sliders, dropdowns, forms, and more for user interaction.
✅ Data Visualizations: Stunning charts and graphs using Matplotlib, Seaborn, or Plotly.
Why choose me? I’m a data expert with years of experience building dashboards in tools like Excel, Power BI, Tableau, Google Data Studio, Jupyter Notebooks, and more. I have worked with a wide range of clients across various industries, from healthcare professionals to senior managers. I am confident I can meet your data needs and would love to build a long-term partnership with you.
Programming Languages
HTML & CSS, JavaScript, PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$150
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages | 2 | 4 | 6 |
Design Customization | |||
Content Upload | - | - | - |
Responsive Design | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$50Frequently asked questions
About Leonardo
Data Scientist | Data Analyst | Automation Specialist
Mendoza, Argentina - 9:37 pm local time
I have extensive experience building ETL pipelines and automating data workflows using tools like SQL, Python, R, Power Query, and JavaScript. I’ve worked with companies across different countries like Argentina, Chile, Germany and the USA, collaborating with diverse international teams.
To deepen my knowledge in this field, I completed a research-oriented master’s degree in Data Analytics in Germany, taught entirely in English. Over three years, I worked on advanced projects involving big data, machine learning, deep learning, computer vision, and natural language processing. For these projects, I extensively used Python and key libraries such as PyTorch, TensorFlow, OpenCV, and scikit-learn.
In my projects, I have trained models using cloud-based environments such as Google Colab, and I am familiar with a variety of cloud services from AWS, Azure, and GCP. I’m also comfortable with tools like Git for version control.
Steps for completing your project
After purchasing the project, send requirements so Leonardo can start the project.
Delivery time starts when Leonardo receives requirements from you.
Leonardo works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
We will discuss your project goals, desired app features, data sources, and visualizations.
Data Preparation
This step involves reviewing, cleaning, and formatting your data to ensure compatibility with the app. If needed, APIs or databases will also be connected during this phase.