Machine Learning / AI Intern
STIKER AI
Oct 2026 — PresentAnalyzes CRM data and builds a CatBoost baseline to score sales deals, with attention to label definitions, feature leakage, and predictive signals.
• Analyze CRM data and business processes to build a machine learning solution for customer and sales-deal scoring. • Explore and preprocess CRM entities, deal-stage histories, customer records, and communication data. • Define target-labeling rules based on business semantics, deal outcomes, stage transitions, and observation horizons. • Design a leakage-aware feature engineering approach that uses only information available at each deal-stage observation. • Build and evaluate a CatBoost baseline for deal outcome prediction.