You will get Predictive Analytics for Customer Churn
Project details
• Analyzed customer interaction data from Salesforce to identify factors contributing to churn.
• Developed a machine learning model with 85% accuracy to predict churn probability.
• Integrated insights into Salesforce dashboards to alert sales teams about high-risk customers.
• Developed a machine learning model with 85% accuracy to predict churn probability.
• Integrated insights into Salesforce dashboards to alert sales teams about high-risk customers.
Machine Learning Tools
Amazon SageMaker, Keras, Microsoft Excel, Microsoft Power BI, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, Salesforce Einstein, scikit-learn, SciPy, Scrapy, SQL, Tableau, TensorFlowWhat's included
| Service Tiers |
Starter
$40
|
Standard
$60
|
Advanced
$80
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 0 | 0 | 0 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
About Nazia
AI Engineer | RAG | LangChain | LLM Apps | Python | Data Engineering
Islamabad, Pakistan - 1:35 pm local time
If your workflow involves resumes, PDFs, emails, support tickets, or other unstructured documents, I build systems that extract the information you actually need so it can be analyzed, searched, or integrated into your applications.
My work focuses on practical AI solutions for real workflows — tools that save time, reduce manual work, and integrate cleanly with your existing systems.
What I can help you build
AI Document Processing
• Resume and document parsing (PDF / DOCX → structured JSON)
• AI extraction of key fields from large document sets
• Text classification and summarization using LLMs
• Automated document pipelines for structured data output
AI Chatbots and Knowledge Tools
• RAG-based chatbots trained on company documents
• Internal knowledge assistants
• FAQ chatbots for websites or products
AI Automation for Text Workflows
• Automated processing of emails or support messages
• Content and report summarization
• AI tools that organize large volumes of text data
AI API Integration
• OpenAI / GPT API integrations
• FastAPI backend services for AI features
• REST API endpoints for AI-powered workflows
How I work
• Clear scope and realistic timelines
• Clean, maintainable Python code
• Validation and guardrails for AI outputs
• Simple documentation so your team can maintain or extend the solution
Tools & Technologies
• Python
• OpenAI / GPT models
• LangChain
• Hugging Face
• FastAPI
• REST APIs
• JSON / CSV data pipelines
• PostgreSQL
Steps for completing your project
After purchasing the project, send requirements so Nazia can start the project.
Delivery time starts when Nazia receives requirements from you.
Nazia works on your project following the steps below.
Revisions may occur after the delivery date.
Purchases the Project
The process begins when a client selects and purchases
Project Steps
outline the specific steps involved in completing the project. These steps should be detailed and logical, ensuring clarity for both