Data Analysis & Visualization using Streamlit

Thrisha reddy jajala

Starting at

/hr

About this service

Summary

I offer end-to-end data analysis and interactive visualization services using Python and Streamlit. From cleaning messy datasets to building responsive web apps that showcase insights, I help you understand your data clearly and make informed decisions. My strength lies in combining technical accuracy with intuitive user experiences.

Process

Initial Discussion – Understand your goals, datasets, and expected outcomes

Data Cleaning – Remove inconsistencies, handle missing data, and structure it

Data Exploration & Analysis – Identify trends, key metrics, and insights

Streamlit App Development – Build a dynamic web app with charts, filters, and summaries

Review & Revisions – Gather your feedback and make final changes

Final Delivery – Deliver the app link, source code, and documentation

FAQs

Can I run the Streamlit app on my own system?
Yes! I provide detailed setup instructions so you can run or modify the app locally or deploy it online.
What kind of data can you work with?
I work with CSV, Excel, Google Sheets, or database exports. Just share your raw data and I’ll take care of the rest.
Will the visualizations be interactive?
Absolutely. Streamlit apps include dropdowns, sliders, charts, and filters for real-time exploration.

What's included

Cleaned and Structured Dataset
A fully cleaned and preprocessed dataset ready for analysis, free from duplicates, missing values, and inconsistencies, delivered in CSV or Excel format.
Interactive Streamlit Web App
A user-friendly Streamlit application that displays key visualizations, insights, and filters to explore the data. This app can be shared via a link or deployed locally.
Data Analysis Summary Report
A concise report highlighting key findings, trends, and business insights discovered during analysis. Includes charts, statistical observations, and recommendations.
Source Code and Deployment Instructions
Fully documented Python code used to clean the data and build the Streamlit app, along with step-by-step instructions for running or modifying the app on your own.

Example projects