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I will build ai sentiment analysis and text classification solutions
AI Full Stack Developer with 10 Years in AIML, LLMs, Agentic AI and Data Science
I specialize in Agentic AI, RAG, LangGraph, LangChain, LLMs, OCR, Vector Databases, and Python, with experience delivering document OCR, AI chatbots, NLP pipelines, and predictive ML models.
What I c...
About this Gig
I will build custom sentiment analysis and NLP solutions to analyze reviews, feedback, comments, documents, and other unstructured text.
Services
- Sentiment Analysis Positive, negative, neutral, or custom categories
- Text Classification Categorize reviews, feedback, emails, tickets, etc.
- Emotion & Opinion Detection
- Text Analytics & Keyword Extraction
- Customer Feedback & Review Analysis
- Information Extraction
- LLM & NLP Solutions
Technologies
Python | NLP | Machine Learning | Transformers | Hugging Face | OpenAI | TensorFlow | Pandas
Use Cases
Customer Reviews | Feedback Analysis | Social Media | Surveys | Customer Support | Text Classification | Business Analytics
Programming language:
Python
•
SQL
•
MLflow
Frameworks:
Scikit-learn
•
Keras
•
Panda
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
MLflow
•
Amazon SageMaker
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Can you analyze my existing customer reviews or feedback?
Yes. I can process reviews, surveys, comments, support tickets, or other text and provide sentiment, categories, emotions, keywords, and structured insights.
Q1. What kind of projects do you handle?
I work on AI and machine learning projects such as sentiment analysis, NLP, unstructured data analysis, AI chatbots, LLM-based solutions, document automation, computer vision, and scalable AI pipelines for businesses.
Q2. Do you work with startups as well as enterprises?
Yes. I work with startups, service-based companies, and enterprises. The approach is always tailored to your scale, data maturity, and business goals.
Q3. Can you work with my existing data and systems?
Absolutely. I can work with structured or unstructured data and integrate AI solutions into your existing systems, workflows, or cloud infrastructure.
Q4. Do you offer proof of concept (PoC) before full development?
Yes. I often start with a PoC to validate feasibility, accuracy, and business value before moving to a full-scale solution.
Q5. How do you handle communication across time zones?
I work with global clients and ensure flexible time-zone overlap for smooth communication, regular updates, and quick responses.
Can you build a custom sentiment analysis model?
Yes. I can build a solution based on your data and requirements, including sentiment classification, text analytics, NLP, and LLM-based approaches.
