You will get Credit One Default Rate Analysis
Project details
Credit One Default Rate Analysis project aims to develop a data-driven solution to address increasing customer default rates. The analysis explores predictive models, feature engineering, and demographic variable analysis to understand creditworthiness, improve the loan approval process, and propose
Machine Learning Tools
Microsoft Excel, NumPy, Python, Python Scikit-Learn, PyTorch, scikit-learnWhat's included $1,000
These options are included with the project scope.
$1,000
- Delivery Time 30 days
- Number of Revisions 4
- Number of Scenarios 1
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
Optional add-ons
You can add these on the next page.
Additional Revision
+$50
Additional Model Variation
(+ 1 Day)
+$50About Arnau
AI & Machine Learning | Business Data Science Consultant
Yarmouth, United States - 10:06 pm local time
- Data Analysis Proficiency: Expert in Python, R, SQL for in-depth data analysis.
- Data Visualization: Skilled in PowerBI and Tableau for creating compelling visual reports.
- Machine Learning Expertise: Able to build predictive models for future trends.
- Business Acumen: Understand diverse business needs to align data strategies.
- Project Management: Skilled at efficiently managing multiple projects.
- Problem-Solving: Analytical mindset for addressing data challenges.
Whether you aim to unlock hidden patterns in your data, improve data-driven strategies, or leverage data for business growth, I have the expertise to assist you.
Completed a total of 42 projects focused on:
- Big Data Tools: Storage, SQL, NoSQL, Hadoop, MongoDB, cloud services, Git, R, Python, and data visualization (PowerBI, Qlik, Tableau)
- Fundamentals of Statistics: Statistics basics, descriptive stats, regression, and probability.
- Data Management & Data Digital: External data sources, tools, data ethics, preparation, and anomaly detection.
- Advanced Data Mining Techniques: Multivariate analysis, PCA, clustering, and the Central Limit Theorem.
- Advanced Prediction Techniques: Supervised/unsupervised modelling, regression, and time series analysis.
- Machine Learning Techniques: Decision trees, k-nearest neighbors, Bayesian models, random forests, boosting, and more.
- Advanced Machine Learning Techniques: Neural networks, SVM, deep learning, and sentiment analysis.
- Project Management: Model validation, discrimination tests, ROC curves, AWS and model implementation for effective data project management
• Big Data & Machine Learning: Python, R, Spark, Hadoop, MongoDB, SQL, JS, PowerBI, AWS, AI
• Data Science: Data Science Pipeline (cleansing, wrangling, visualization, modeling, interpretation), A/B Testing, Time
Series, Market Basket Analysis, Hypothesis testing, Statistics, NLP, MLOps, Business Intelligence.
• Languages: Catalan (Native), English (Native), Spanish (Native), Italian (Advanced)
Steps for completing your project
After purchasing the project, send requirements so Arnau can start the project.
Delivery time starts when Arnau receives requirements from you.
Arnau works on your project following the steps below.
Revisions may occur after the delivery date.
Data Delivery