Hire PandasAI Developer for AI-Driven Data Analysis

Name: PandasAI Developer for AI-Driven Data Analysis
Brand: Upstaff
Rating: 4.8 (138506 reviews)

Upstaff connects you with PandasAI developers skilled in AI-driven data analysis.

PandasAI library gives conversational AI capability to Pandas dataframes, enabling natural language queries and code generation for analysis, charts, and data lakes.
With over 5 years of experience in Pandas, natural language processing, and tools like Jupyter and Scikit-learn, our experts build efficient data workflows for analytics and automation.

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Meet Our Devs

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Anatolii K.Python Software Engineer

$55/hr
$8000/month

Python

Django

Flask

Anthropic

PandasAI

TensorFlow

JavaScript

APScheduler

AsyncIO

Beautiful Soup

Django Channels

Django ORM

Dramatiq

Pandas

pytest

CSS

HTML

Django REST framework

FastAPI

Vue.js

Vue Router

Vuex

Data Analysis

Data Mining

Elastic Search Platform

AWS ElasticSearch

MongoDB

PostgreSQL

Redis

SQLAlchemy

AWS MWS (Amazon Marketplace Web Service)

AWS S3

SP-API (Amazon Selling Partner API)

Google API

Telegram API

Bash

Celery

RabbitMQ

CI/CD

Cypress

Unit Testing

Docker

Jinja

microservices architecture

Nginx

Marshmallow

Natural Language

quip-API

...

- 5 years of experience in the IT industry as a Python Engineer - Proficient in using technologies such as Django DRF, Flask, Pandas, BeautifulSoup, SQLAlchemy, Asyncio, Flask + Marshmallow, Apscheduler, Jinja, Quip API, Docker, Nginx, Amazon MWS API, Amazon SP-API, Google API, and Telegram API; - Strong in refactoring, bug-fixing, and working with Python, JavaScript, Django, Django Rest Framework; - Skilled in developing faceted search and matching algorithms using ElasticSearch; - Experienced in PDF generation and importing from various formats; - Developed web applications, API interfaces, and automated scripts for data transformation; - Previous experience includes working as a Python developer focused on data scraping for Amazon, eBay, and Walmart products in dropshipping projects; - Also worked as a C# developer on various projects, specializing in web development, scraping, and parsing data; - Upper-Intermediate English; - Available ASAP

Senior (5-10 years)

United States

View Anatolii K.

DMW

DZONTOH MAWULI WISDOMData Analytics Engineer | Software Engineer & System Manager

Python 3yr.

JavaScript 3yr.

Django REST framework 3yr.

FastAPI

Java

TypeScript

NumPy

OpenAI

PandasAI

Beautiful Soup

Bootstrap 4

C/C++/C#

Laravel

Node.js

SQLAlchemy

SQLite

Jira

Lemlist

Selenium

Pipedrive

Python Requests Library

...

Software Engineer with 3+ years expertise in full-stack development, focusing on backend and API integrations. Proficient in Python and JavaScript, with strong experience in Django, Django REST Framework, and FastAPI. Comprehensive knowledge of relational and NoSQL databases, with advanced skills in MySQL. Demonstrable success deploying scalable web solutions on AWS with Docker and maintaining codebases with Git. Practical application of Agile/Scrum methodologies, and a proven track record of producing maintainable, well-documented code for data-driven applications, automated systems, and AI-powered tools. Holds a Bachelor's degree in Computer Science and multiple certifications, showcasing a commitment to professionalism and continuous learning in software engineering.

Middle (3-5 years)

Accra, Ghana

View DZONTOH MAWULI WISDOM

Angel N.Web Scraping Engineer with Data Analytic skills

Python 8yr.

Beautiful Soup 2yr.

Selenium

Scrapy

Playwright

Data Mining 7yr.

Data Scraping 7yr.

PHP 5yr.

XPATH 5yr.

Data visualization 5yr.

RDBMS 5yr.

Payment Gateways 5yr.

Project Management 5yr.

Responsive Design 5yr.

SVN 5yr.

PandasAI 4yr.

Data Analysis 4yr.

JavaScript 3yr.

TensorFlow 3yr.

NLTK 3yr.

CSS 2yr.

HTML5 2yr.

Play Framework 2yr.

Reselect 2yr.

RESTful API 2yr.

Scrum 2yr.

Vaadin 1yr.

Puppeteer 1yr.

Power BI 1yr.

Tableau 1yr.

AngularJS

React

Symfony

AWS S3

RPA

...

- 10+ years with data and web scraping, data analysis, and crawler development; - Developed 200+ web crawlers for fashion brands and 700+ crawlers for job offer aggregation including Fortune 500 companies; - Led a team of junior engineers in data crawling projects; - Managed scraping infrastructure, data parsing, and cleaning procedures using pandas and regex; - Skilled in Python, PHP, JavaScript, SQL, and tools like Scrapy, Selenium, Pandas, BeautifulSoup, TensorFlow, and Regex; - Analyzed data and built visualizations with Tableau and Power BI; - Experienced with version control (Git) and Agile/Scrum methodologies; - Used reverse engineering, XPath, CSS selectors, and AJAX calls to handle dynamic websites; - Developed software architecture and contributed to test automation; - Worked on projects involving distributed tasks with Gearman, Selenium, Puppeteer; - Stayed updated on web scraping best practices and emerging technologies.

Expert (10+ years)

Bulgaria

View Angel N.

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Table of Contents

PandasAI – AI agent for Data analysis in your data infrastructure Easily connect your data sources (SQL, Databricks, Snowflake, Postgres, xls) and get comprehensive analytics from multiple data sources in one place

Why Choose PandasAI?

Everything you need to analyze your data with AI and build conversational data analysis tools

PadasAI

Analytics: comprehensive analytics from multiple data sources in one place. Transform raw data into actionable insights to implement data-driven strategies.

Privacy First: data never leaves your infrastructure. Run locally or in your private cloud with complete control over your sensitive information.

Easy Setup in minutes, not hours. Our library is designed for simplicity without sacrificing power or flexibility.

Easy Integration: Connect to SQL, NoSQL, CSV, Excel and other data sources with minimal configuration.

Reports: Generate detailed reports to keep every team aligned and informed. Create intuitive charts and visualizations to easily interpret your business data.

Intelligent Analysis: Ask questions in natural language and get instant insights from your data. No complex queries or coding required.

Why Hire PandasAI Developers?

PandasAI developers are specialized data engineers who combine expertise in the Pandas library with PandasAI, an AI-powered tool that enhances data manipulation through natural language queries and generative AI. Unlike general data scientists or Python developers, PandasAI developers leverage machine learning to automate complex data tasks, such as data cleaning, visualization, and predictive analysis, using tools like Pandas, NumPy, and AI models (e.g., LLMs). With over 5 years of experience, they excel in building efficient, scalable data workflows, making them critical for businesses seeking rapid, data-driven insights.

What They Do and Their Significance

PandasAI developers utilize PandasAI to streamline data analysis by enabling natural language interaction with datasets, reducing coding time for tasks like filtering, grouping, or anomaly detection. They integrate PandasAI with Python ecosystems (e.g., Jupyter, Scikit-learn, TensorFlow) and cloud platforms like AWS or Google Cloud to process large datasets efficiently. Their work is significant for accelerating data exploration—cutting analysis time by up to 60%—and enabling non-technical users to query data intuitively. They ensure data accuracy and optimize performance for applications requiring real-time insights or automated reporting.

Advantages and Project Types

Hiring PandasAI developers provides distinct advantages for data-intensive projects. Their ability to combine Pandas’ data manipulation with AI-driven automation outperforms traditional data analysts in speed and scalability. They excel in projects like automated financial reporting for fintech platforms, predictive analytics for e-commerce customer behavior, or real-time data dashboards for healthcare. By leveraging PandasAI’s natural language capabilities and integrating with tools like Matplotlib or Snowflake, they deliver cost-effective solutions that enhance decision-making and operational efficiency across industries.

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