You will get I will create an interactive data dashboard with Python and Streamlit

Tata D.Status: Offline
Tata D. Tata D.
Rising Talent

Let a pro handle the details

Buy Web Application Programming services from Tata, priced and ready to go.
Tata D.Status: Offline
Tata D. Tata D.
Rising Talent

Let a pro handle the details

Buy Web Application Programming services from Tata, priced and ready to go.

Project details

I build interactive data dashboards with Python and Streamlit. With real project experience from Alura's Data Immersion, I deliver clean, professional dashboards with filters, charts and insights tailored to your data.
Programming Languages
JavaScript, Python
What's included
Service Tiers Starter
$30
Standard
$60
Advanced
$100
Delivery Time 5 days 6 days 10 days
Number of Revisions
123
Number of Pages
123
Design Customization
-
Content Upload
-
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Responsive Design
-
-
Source Code
Tata D.Status: Offline

About Tata

Tata D.Status: Offline
Data Analyst | Python & Pandas | Dashboard & Data Visualization
Iporanga, Brazil - 8:43 am local time
I'm a Brazilian data analyst with hands-on experience in Python and Pandas, focused on data cleaning, transformation, and visualization. I've built interactive dashboards using Streamlit and worked on real-world datasets involving salaries, job roles, and countries.
I'm a fast learner, highly communicative, and detail-oriented. I completed an intensive Data Immersion program at Alura, where I developed practical skills in data extraction, ETL processes, and analytical presentation.
I also have solid experience in customer service, which means I communicate clearly with clients and deliver work that meets their expectations.
I'm at the beginning of my freelance journey and fully committed to delivering quality work and building long-term relationships.

Steps for completing your project

After purchasing the project, send requirements so Tata can start the project.

Delivery time starts when Tata receives requirements from you.

Tata works on your project following the steps below.

Revisions may occur after the delivery date.

Review the received data and align on project goals with the client.

Clean and organize the dataset using Python and Pandas.

Review the work, release payment, and leave feedback to Tata.