Preparation of the dataset for AutoGluon (financial data)
134 USD We are developing a customer evaluation model. We are looking for a specialist who can:
Perform exploratory data analysis (EDA).
Conduct feature engineering: creating new features, aggregations, handling missing values and outliers.
Optimize data for further use in AutoGluon.
Create a final pipeline that takes raw data as input and produces a ready dataset as output.
Technology stack: Python, Pandas, NumPy, Scikit-learn, AutoGluon (mandatory experience), SQL (PostgreSQL will be an advantage), matplotlib / seaborn / plotly.
Requirements: 2+ years of experience in Data Science/ML, practical experience in feature engineering, preferably experience with financial data (transactions, scoring).
Client's review of cooperation with Illia Antipiev
Preparation of the dataset for AutoGluon (financial data)Everything has been done according to our wishes. Thank you for your cooperation. We will definitely reach out again!
Freelancer's review of cooperation with Yaroslava Morshna
Preparation of the dataset for AutoGluon (financial data)Interesting project
The client provided all materials, explanations, and was very helpful with the initial data processing, which made my task easier 🙂
Thank you for the collaboration
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Yaroslava Morshna Compassway
@Illia Antipiev не можу написати вам , так як у вас вказано в профілі тимчасово не працює
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Змінив статус
Добре що помітив, бо ніяких нотифікацій не прийшло 🙂
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