Hire PandasAI Developer for AI-Driven Data Analysis

PandasAI

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.

Find your AI developer in 48 hours.

PandasAI
2K+ Vetted Developers
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48 hours average start

Meet Upstaff’s Vetted PandasAI Developers

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Python
Django
Flask
Anthropic
PandasAI
TensorFlow
C#
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

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Seniority Senior (5-10 years)
Location United States
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.

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Seniority Middle (3-5 years)
Location Accra, Ghana
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.

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Seniority Expert (10+ years)
Location Bulgaria
Python
SQL
PySpark
NLP
GenAI
Azure Cognitive Search
LangChain
LangGraph
Mlflow
n8n
NumPy
OCR
OpenAI
OpenCV
PandasAI
Pinecone
Scikit-learn
Xgboost
Dlib
Matplotlib
Seaborn
Apache Airflow
Data visualization
Jupyter Notebook
Power BI
Tableau
MongoDB
PostgreSQL
Google BigQuery
Automation deployment CI, CD
CD DevOps pipelines
CI/CD
Jenkins
Clean Architecture
FDD
Docker
Kubernetes
Terraform
Github Actions
Google Colaboratory
Kafka
RESTful API
AutoGen
CRNN
Faiss
Unreal Engine
YOLOv7
...

Engineer with 10+ years’ experience in AI, excelling in NLP, GenAI, computer vision, and model deployment. Expertise in Python, SQL, PySpark, and cloud platforms. Established record of enhancing AI-driven services, improving workflows, and boosting efficiency. Proven capabilities in developing robust ML pipelines, integrating state-of-the-art technologies like LLMs and RAG pipelines, and delivering solutions across diverse industries. Advanced in web and full-stack development, data engineering, analysis, and DevOps practices, underpinned by solid formal education in computer science.

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Seniority Expert (10+ years)
Location Karlino, Poland

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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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Photo: Yaroslav Kuntsevych(Upstaff CEO)
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