You will get Unified Multi Tanent Analytics Agent for SQL, NoSQL & Unstructured Data
Rising Talent
Project details
You will get a powerful analytics agent that turns your data into clear, actionable insights through an intuitive chat-based interface. The agent is built to work seamlessly with both structured and unstructured data, including SQL and NoSQL databases, APIs, and common file formats. You can ask questions in natural language and instantly receive accurate analytical answers, meaningful summaries, visual insights, and clear explanations—without writing complex queries.
Designed for real-world use, the analytics agent focuses on accuracy, performance, and scalability. It helps teams explore data faster, uncover patterns, and make informed decisions in real time. The solution can start with a single data source and scale to multiple data sources as your needs grow, while maintaining a smooth and user-friendly experience.
For a quick demo and to see the portfolio
Designed for real-world use, the analytics agent focuses on accuracy, performance, and scalability. It helps teams explore data faster, uncover patterns, and make informed decisions in real time. The solution can start with a single data source and scale to multiple data sources as your needs grow, while maintaining a smooth and user-friendly experience.
For a quick demo and to see the portfolio
AI Algorithms
Large Language Model, Long Short-Term Memory NetworkAI Applications
AI Chatbot, AI Text-to-Image, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAIAI Models
GPT-4What's included
| Service Tiers |
Starter
$500
|
Standard
$1,000
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 30 days | 50 days | 70 days |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
Frequently asked questions
About Piyush
3+ Yrs| Full Stack Eng. With ai (Python|Golang|Cloud|Automation|AI)
Mohali, India - 11:43 pm local time
đź“Ś Quick Snapshot
🔹 Experience: 3+ Years
🔹 Projects Delivered: 7+
🔹 Client Satisfaction: 98%
🔹 Worked With: Startups, Agencies & Product Teams
I’m a freelance Full Stack Engineer with 3+ years of experience building scalable, secure, and high-performance applications. I help businesses turn ideas into production-ready systems with clean architecture and future-ready code.
đź’ˇ What I Do
I work end-to-end - from system design and development to cloud deployment and optimization. My approach blends strong engineering with real business understanding.
🧠Technical Expertise
Backend & APIs
Python (FastAPI, Django, Flask)
Golang (REST, gRPC, Microservices)
Automatic (n8n , scraping)
Generative AI and Agents
Langchain
Langgraph
Llm
Lamma index
Cloud & DevOps
AWS (EC2, Lambda, S3, RDS, DynamoDB)
Docker, CI/CD pipelines
Serverless & scalable architectures
Databases & Tools
PostgreSQL, MongoDB, Redis
Automation, Web Scraping, Background jobs
🤝 How I Work
Clear & proactive communication
Milestone-based delivery
Clean, maintainable code
Reliable post-delivery support
🚀 Why Clients Choose Me
âś” Business-focused solutions
âś” Scalable & secure systems
âś” Ownership from start to finish
âś” Long-term partnership mindset
If you’re looking for a developer who thinks beyond code and focuses on results -
let’s connect and build something impactful together.
Steps for completing your project
After purchasing the project, send requirements so Piyush can start the project.
Delivery time starts when Piyush receives requirements from you.
Piyush works on your project following the steps below.
Revisions may occur after the delivery date.
Agent POC Development
We will develop a proof of concept (POC) for the AI agent based on the agreed use case. The client will review functionality, outputs, and logic before moving forward.
POC Review & Finalization
Incorporate client feedback, finalize agent behavior, workflows, and data handling approach to lock the technical design.