You will get an NLP model & pipeline for text classification, sentiment & summarization
Project details
I will build reliable NLP models and pipelines to help you extract real value from text data, whether your use case is sentiment analysis, text classification, or summarization. You’ll receive clean, well-structured code and a working solution tailored to your data and goals.
My workflow covers the full ML lifecycle: data cleaning, preprocessing, feature engineering, model training using classical ML or transformer-based approaches, evaluation, and final delivery. I focus on building models that are accurate, reproducible, and easy to integrate into real systems.
This project is ideal if you need practical NLP automation, faster insight extraction from text, or production-ready models rather than just experimental notebooks. Clear communication, timely delivery, and dependable results are always my priority.
My workflow covers the full ML lifecycle: data cleaning, preprocessing, feature engineering, model training using classical ML or transformer-based approaches, evaluation, and final delivery. I focus on building models that are accurate, reproducible, and easy to integrate into real systems.
This project is ideal if you need practical NLP automation, faster insight extraction from text, or production-ready models rather than just experimental notebooks. Clear communication, timely delivery, and dependable results are always my priority.
Machine Learning Tools
BERT, ChatGPT, GPT-3, NLTK, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$125
|
Standard
$300
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
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ML
Maggie L.
Mar 27, 2026
Applied ML / AI Engineer
About Ratnapriya
Senior Data Scientist | Machine Learning, NLP & Predictive Modeling
Ahmedabad, India - 1:10 pm local time
What I deliver:
• Text summarization, sentiment, topic & NLP pipelines (transformers + classical)
• Speech emotion & audio analysis (MFCCs, spectrograms)
• Predictive models & lead scoring (XGBoost, tabular pipelines)
• Clustering/EDA for root-cause analysis and automation workflows
I focus on clear results, reproducible code, and outputs non-technical teams can use. I can start immediately.
Steps for completing your project
After purchasing the project, send requirements so Ratnapriya can start the project.
Delivery time starts when Ratnapriya receives requirements from you.
Ratnapriya works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement & Data Review
I review your dataset, use case, success criteria, and output expectations to clearly define the NLP task and scope before starting.
Data Cleaning & Preprocessing
I clean, normalize, and preprocess the text data, handle missing values, and prepare features required for model training and evaluation.