Resolving Data Sparsity in Recommender Systems Using Reinforcement Learning
Babol Noshirvani University of Technology
Data Scientist / ML Analyst with an M.Sc. in AI & Robotics, a B.Sc. in Industrial Engineering and a completed MBA. I build reproducible pipelines, tested code, honest charts and dashboards that decision makers actually use.
Tehran, Iran · Data Science & AI
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I'm a data professional who enjoys the unglamorous parts as much as the modelling: cleaning, validation, tests and reproducibility. My work spans applied machine learning, NLP and business intelligence, always aimed at decision-ready insights for stakeholders.
I work mostly in Python (pandas, scikit-learn, matplotlib) and Power BI, and I've been building with LLMs, embeddings and agents lately. I care about honest metrics — macro-F1 over a flattering accuracy score, loss ratios over vanity dashboards.
Kharazmi University
Thesis: Addressing Data Sparsity in Recommender Systems via Reinforcement Learning
University of Tehran
Islamic Azad University
Adrin Darou Iranian · Karaj, Iran
MAPNA Turbine Engineering & Manufacturing (TUGA) · Alborz Industrial City, Iran
Raw data → cleaning → analysis → models → dashboards.
Babol Noshirvani University of Technology