Projects
To achieve full understanding of the use and application of ML algorithms, our participants will work on a real-life industry project, translating theoretical knowledge to practical process and overcoming realistic challenges.
Applications to Y-DATA Program 2024-25 are open
Start your professional journey in Applied Data Science with Y-DATA
Basics
Projects Basics
Choose one of the real‑life data projects offered by our industry partners, and work on it throughout the year. You will receive guidance in weekly meetings with our experienced industry mentors and there will be periodic meetings with the project’s data owner.
Format
Weekly meetings with company data-owner
Guidance
Experienced mentors provided by Y-DATA
Team
2-3 students
Scope
~ 300 work hours
Duration
Feb – Jul
Our projects
Industry projects
Web technology detection
Finding Genes with Similar Functional Homology
Text Classification Modeling Improvements
Dynamic Range Prediction for Vehicles
Diastole/Systole Indetification in ECG
Wix Restaurants Segmentation
LLM Agent-Managed Interface for Business Monitoring
Detecting Faulty Sensor Data
Hourly Demand Prediction
Product Clustering and Fraud Risk Assessment
Oral Anomaly Detection
Botnets Site Clustering
Multi-domain Digital Pathology Stain Style Transfer
Classification and Prediction of Epileptic Activity in EEG
Multi-domain digital pathology styletransfer
A comparative analysis for xai methods package
Automatic product comprehension with llms
Document validation and extraction
Text clustering for care management quality performance
Grinvision foundation model
Genomic profile representation for prediction of drug response
Generative creation of newsletter campaigns
Client application classification using exposed information
Behavioral cross-session user identification
SQL injection detection in real time
Healthscope: medical classification and contextual analysis
Content recommendation engine for emails
Presentation of projects