You will get an extensive analysis of your data and an optimized predictive model.
Project details
This gig will be useful for managers who wish to have an automated tool to read their data and provide several analyses with visualizations or/and matrices. The purpose is to reveal the insights of the data even in the basic version of the gig. This will save much time for them and will be a valuable decision tool. This gig will be easy to update and maintain. Moreover, one may jump easily from the basic tool to a more complicated one. More functionality will be easy to add and continuously build on the top of the previous version.
The code will be always included in the delivery of the gig. The suggested way to use the tool is via Jupyter Notebook which will be an ideal way even for people who are not familiar with coding and programming. A presentation of the tool via screen sharing or with a video will be provided if needed. Please don't hesitate to ask for clarifications!
The code will be always included in the delivery of the gig. The suggested way to use the tool is via Jupyter Notebook which will be an ideal way even for people who are not familiar with coding and programming. A presentation of the tool via screen sharing or with a video will be provided if needed. Please don't hesitate to ask for clarifications!
What's included
| Service Tiers |
Starter
$120
|
Standard
$240
|
Advanced
$360
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 1 | 1 | 1 |
Number of Graphs/Charts | 3 | 5 | 8 |
Model Validation/Testing | - | - | |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | |
Source Code | - | - |
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About Georgios
Expert Data Scientist
Piraeus, Greece - 10:42 pm 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.
Data
Create a tool to load the data.
EDA
Explore data to reveal the basic insights and present them with graphs or/and matrices