You will get a Python NLP pipeline for sentiment analysis and text classification
Project details
Are you sitting on thousands of customer reviews with no way to analyse them? I will build a Python NLP sentiment analysis pipeline to automatically classify your text data and deliver actionable insights.
Using NLTK, BERT and Scikit-learn, I develop production-ready NLP models for sentiment analysis, text classification and opinion mining - trained on your real data.
What you will get:
• Custom sentiment analysis model trained on your data
• Text preprocessing and cleaning pipeline
• Binary or multi-class sentiment classification
• BERT and transformer-based deep learning models
• Model evaluation with accuracy, F1-score and confusion matrix
• Interactive visualisations and insights report
• Clean Python code with full documentation
Possible use cases:
• Customer review sentiment analysis
• Social media monitoring and brand sentiment
• Survey and feedback classification
• Support ticket prioritisation
• Product opinion mining
Tech stack: Python, NLTK, BERT, Hugging Face, Scikit-learn, Pandas, NumPy, Matplotlib.
MSc Data Science, Middlesex University London. UK-based, fast delivery. Share your text data and lets build your NLP solution today.
Using NLTK, BERT and Scikit-learn, I develop production-ready NLP models for sentiment analysis, text classification and opinion mining - trained on your real data.
What you will get:
• Custom sentiment analysis model trained on your data
• Text preprocessing and cleaning pipeline
• Binary or multi-class sentiment classification
• BERT and transformer-based deep learning models
• Model evaluation with accuracy, F1-score and confusion matrix
• Interactive visualisations and insights report
• Clean Python code with full documentation
Possible use cases:
• Customer review sentiment analysis
• Social media monitoring and brand sentiment
• Survey and feedback classification
• Support ticket prioritisation
• Product opinion mining
Tech stack: Python, NLTK, BERT, Hugging Face, Scikit-learn, Pandas, NumPy, Matplotlib.
MSc Data Science, Middlesex University London. UK-based, fast delivery. Share your text data and lets build your NLP solution today.
Machine Learning Tools
BERT, ChatGPT, GPT-3, Keras, NLTK, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, Stanford CoreNLP, TensorFlow, TextBlob, Word2vecWhat's included
| Service Tiers |
Starter
$148
|
Standard
$248
|
Advanced
$398
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 2 | 2 | 3 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$30 - $70
Additional Revision
+$20
Additional Model Variation
(+ 2 Days)
+$35
Additional Scenario
(+ 1 Day)
+$20
Additional Graph/Chart
+$10
Model Documentation
(+ 1 Day)
+$25
Data Source Connectivity
(+ 1 Day)
+$30Frequently asked questions
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SA
Shahryar A.
Apr 22, 2026
Need a Power BI Dashboard for Sales Data Analysis
Danial did an outstanding job on my project for sales data analysis. His work was exceptionally clean, well-structured, and easy to understand. He demonstrated a strong grasp of data visualization best practices and delivered a dashboard that is both visually appealing and highly functional.
Communication throughout the project was smooth and professional. Danial was responsive, open to feedback, and made adjustments quickly whenever needed. He also showed great attention to detail, ensuring the data was accurate and the insights were clear and actionable.
I’m very satisfied with the results and would highly recommend Danial to anyone looking for high-quality work. I would definitely work with him again on future projects.
Communication throughout the project was smooth and professional. Danial was responsive, open to feedback, and made adjustments quickly whenever needed. He also showed great attention to detail, ensuring the data was accurate and the insights were clear and actionable.
I’m very satisfied with the results and would highly recommend Danial to anyone looking for high-quality work. I would definitely work with him again on future projects.
About Danial
Data Scientist | Power BI , ML Models , LLM/AI | Python | MSc London
Hayes, United Kingdom - 7:26 am local time
What I build:
▶ Machine Learning & Predictive Modeling
End-to-end Python ML pipelines using scikit-learn, XGBoost, and TensorFlow. Classification, regression, clustering, time-series forecasting, and anomaly detection. Clean code, documented models, and explainable results — not just Jupyter notebooks.
▶ Power BI & Tableau Dashboards
Interactive business intelligence dashboards that connect to SQL databases, Excel, APIs, and cloud sources. Custom DAX measures, drill-through reports, and executive-ready data visualization. Delivered with full documentation so your team can maintain them.
▶ AI Apps, NLP & LLM Integration
Production-ready AI applications using OpenAI API, LangChain, and RAG (Retrieval-Augmented Generation). Custom chatbots trained on your documents, automated NLP pipelines for text classification and sentiment analysis, and ChatGPT-powered workflow automation.
▶ Data Pipelines, ETL & Web Scraping
Automated data collection and ETL pipelines using Python (Pandas, NumPy, BeautifulSoup, Scrapy). Database integration with PostgreSQL, MySQL, and cloud warehouses. Scheduled pipelines so your data is always fresh without manual effort.
Why clients choose me:
• UK-based with native English communication — no timezone frustration
• MSc Data Science, Middlesex University London — verifiable credentials
• I deliver production-ready work, not academic experiments
• Fixed-price projects with clear milestones — no surprise invoices
• Every deliverable includes documentation, clean code, and a handover summary
Send me a message describing your project — I offer a free 20-minute scoping call for all new clients. Let’s figure out exactly what you need before you spend a penny.
Steps for completing your project
After purchasing the project, send requirements so Danial can start the project.
Delivery time starts when Danial receives requirements from you.
Danial works on your project following the steps below.
Revisions may occur after the delivery date.
Data Review & Problem Definition
I review your text dataset, understand your goals, and define the sentiment classes and NLP approach.
Text Preprocessing & Cleaning
I clean your text data, remove noise, tokenise, lemmatise and prepare it for NLP model training.