I will do sentiment analysis, topic modeling, natural language processing

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Estados Unidos

Hablo Inglés

Task on

Hi! I have been working as a Data Scientist from last 5 years. As a Data scientist, I will utilize my analytical, statistical and programming skills to collect, analyze, and interpret large data sets....
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I will build and deploy production-grade NLP and machine learning solutions

Looking to turn text data into actionable insights? I offer end-to-end NLP/ML services with deployable, production-level pipelines.

Services include:

  • Text classification (spam, intent, fraud)
  • Topic modeling (LDA, NMF, BERTopic)
  • Sentiment analysis and customer feedback insights
  • Named Entity Recognition (spaCy, BERT, transformers)
  • Extractive and abstractive summarization
  • Language modeling and fine-tuning (Hugging Face)
  • Prompt engineering, LangChain, RAG pipelines
  • Speech-to-text with post-processing
  • Data cleaning, preprocessing, and feature engineering

Tech Stack:

  • React.js, Next.js, Node.js, Flask, FastAPI, PostgreSQL, MongoDB, AWS, GCP, Docker, Kubernetes, LangChain, OpenAI API, TensorFlow, PyTorch, and more.

Code is optimized, scalable, and ready for deployment.

Message me to discuss your project and requirements.

Experiencia:

Aprendizaje de características

Clasificación

Lenguaje de programación:

Python

R

SQL

Colab

MLflow

Marcos:

Scikit-learn

SimpleCV

keras

PyTorch

Panda

API:

Microsoft Computer Vision AI

Amazon Rekognition

Herramientas:

Jupyter Notebook

opencv

TensorFlow

MLflow