Dr. morteza alamgir

Marketing Technology & Measurement, Causal Inference & Experimentation, Uplift & Incrementality Modeling, LLM Fine-tuning, Product Data Enrichment with AI

Measuring and optimising marketing campaigns, Market Mix Modelling, Measuring Incrementality, optimal allocation of marketing budget, Churn prediction and prevention, Optimising vouchers and incentives

Fundamental Research in machine learning and graph analysis

Working on recommender systems for large scale data. I proposed a novel local similarity function for recommending new friendships in Tuenti Social Network. The similarity function takes the temporal information of the edge creation process into account. Experiments on Tuenti social network with more than 12 million users showed that this method significantly outperforms alternative link prediction methods.