You will get a text classification model
Project details
This project is carefully designed and structured to produce excellent results even in its basic form. The text classification requires extensive feature engineering combining both extracting text features and calculating text statistics and also perform a feature selection.
The Text Classification projects are exactly on the interface of linguistics, mathematics and computer science and require from the scientist to understand how language may differ from context to context providing different patterns for the algorithms to recognise. Just implementing a ready algorithm will never be good enough when dealing with text classification.
The talent to identify and extract text patterns and pass them as features in the model is necessary and definitely a secret to the project's success. This gig escalates feature engineering and model selection until reaching an expert level (3rd tier) and achieves the best outcome.
The Text Classification projects are exactly on the interface of linguistics, mathematics and computer science and require from the scientist to understand how language may differ from context to context providing different patterns for the algorithms to recognise. Just implementing a ready algorithm will never be good enough when dealing with text classification.
The talent to identify and extract text patterns and pass them as features in the model is necessary and definitely a secret to the project's success. This gig escalates feature engineering and model selection until reaching an expert level (3rd tier) and achieves the best outcome.
What's included
| Service Tiers |
Starter
$118
|
Standard
$242
|
Advanced
$490
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 1 | 2 |
Number of Model Variations | 1 | 1 | 1 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | - | ||
Model Documentation | - | - | - |
Data Source Connectivity | |||
Source Code |
Frequently asked questions
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About Georgios
Expert Data Scientist
Piraeus, Greece - 2:23 am local time
I am a senior data scientist with more than 25 years of experience across statistics, econometrics, machine learning, analytical software, and financial risk. My professional background includes serving as a Chief Data Scientist and Credit Risk Manager, completing more than 70 commercial data-science engagements, building consistently all the range of credit risk models (PD, EAD, LGD, Affordability) including LLM for transactional data, credit scoring using CRA data and also contributing to research collaborations with universities in Europe and Australia.
My principal areas of expertise are:
Credit risk and lending analytics: PD and LGD modelling, affordability assessment, application and behavioural scoring, model validation, threshold optimisation, monitoring, explainability, and responsible lending.
LLMs and natural language processing: text and transaction classification, information extraction, structured outputs, prompt and model evaluation, document analysis, and workflow automation.
Time-series modelling and forecasting: statistical forecasting, machine-learning and deep-learning models, feature engineering, backtesting, model comparison, and uncertainty assessment.
Machine learning and statistical analysis: regression, classification, clustering, imbalanced learning, exploratory analysis, model interpretation, hypothesis testing, econometrics, and reproducible research.
I can support the full project lifecycle: problem definition, data-quality assessment, exploratory analysis, model development, validation, documentation, automation, and production handover.
Core technologies: Python, pandas, NumPy, scikit-learn, TensorFlow/Keras, PyTorch, FastAPI, APIs, statsmodels, XGBoost/LightGBM, NLP and transformer tools, SQL, matplotlib, and cloud-based workflows.
My deliverables are designed to be technically rigorous and practically usable: clear assumptions, reproducible code, defensible evaluation, transparent limitations, and business-oriented recommendations.
Steps for completing your project
After purchasing the project, send requirements so Georgios can start the project.
Delivery time starts when Georgios receives requirements from you.
Georgios works on your project following the steps below.
Revisions may occur after the delivery date.
Input data
Develop code to load data from disk or from a database.
Data Management
Manage data to be appropriate for the next steps. Data cleaning or basic feature extraction may occur here.