Data Targets Exprience
Credit Risk Project for a National Bank
Customer Recommendation System for a Retail Company
Credit Risk Project for a National Bank
Designed and implemented a credit risk model for a national bank with 40 million customers, segmented into commercial, corporate, and personal clients.Utilized 430 features for commercial clients, 510 features for corporate clients, and 360 features for personal clients.
LRFMC Customer Segmentation Project
Customer Recommendation System for a Retail Company
Credit Risk Project for a National Bank
Conducted customer segmentation for 3 million clients using the LRFMC model.Incorporated 15 key metrics and 85 general metrics to analyze customer behaviors and preferences.Results were used to enhance recommendation system projects for targeted customer engagement.
Customer Recommendation System for a Retail Company
Customer Recommendation System for a Retail Company
Customer Recommendation System for a Retail Company
Developed a recommendation system for a retail company with 100,000 customers and a catalog of 500 products.Applied deep learning techniques to personalize customer recommendations.Achieved a recall rate of 83% and boosted sales by an average of 31%.
AI-Based Legislative Codification System
Recommendation System for Potential Banking Customers
Customer Recommendation System for a Retail Company
Built an AI-driven system to analyze and consolidate 100,000 laws and regulations.Developed modules for Named Entity Recognition (NER) to identify organizations, countries, and cities within legal texts.Integrated modules for implicit and explicit abrogation, expiry detection, and the creation of legal timelines.
Intelligent Judicial Assistant Project
Recommendation System for Potential Banking Customers
Recommendation System for Potential Banking Customers
Designed an intelligent assistant for judges to streamline the drafting of judicial rulings.Developed modules for knowledge tree creation, semantic and textual similarity analysis, and a judicial chatbot powered by domain-specific LLMs.Enhanced efficiency in legal decision-making and document preparation.
Recommendation System for Potential Banking Customers
Recommendation System for Potential Banking Customers
Recommendation System for Potential Banking Customers
Developed a recommendation system tailored for potential banking customers.Focused on promoting financial and banking services by analyzing customer profiles and preferences.Delivered targeted recommendations to enhance customer acquisition and retention.
Implementation of an Alzheimer’s Disease Diagnosis Model Based on MRI Images
Implementation of an Alzheimer’s Disease Diagnosis Model Based on MRI Images
Implementation of an Alzheimer’s Disease Diagnosis Model Based on MRI Images
This project focuses on the segmentation of brain images and predicting the disease severity based on patients' age and brain atrophy levels.The following databases were utilized for this project:ADNI (Alzheimer’s Disease Neuroimaging Initiative): Including ADNI-1, ADNI-Go, ADNI-2, and ADNI-3, which provide MRI, PET scans, and biomarker data.
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