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Pattern Recognition in Industry

Ali Akbar S.
September 18, 2020

Pattern Recognition in Industry

A guest lecture in IF5181 Pattern Recognition course on case studies about customer segmentation, churn prediction, text mining from reviews, and search ranking

Ali Akbar S.

September 18, 2020
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  1. Work experience ‍ • Data scientist lead @ Airy •

    Senior data scientist @ eFishery • Data science consultant @ HappyFresh
  2. Typical cases 1. Customer segmentation ‍ 2. Churn prediction 3.

    Text mining from reviews or customer complaints (sentiment analysis) 4. Dynamic retail pricing 5. Demand forecasting (time series analysis)
  3. Specific cases 1. Object recognition 2. Information retrieval 3. Predictive

    maintenance 4. Vehicle routing problem 5. Named entity recognition 6. Multi-armed bandit
  4. Case studies 1. Customer segmentation ‍ 2. Churn prediction 3.

    Text mining from reviews 4. Search ranking
  5. Monothetic vs Polythetic Toxic Loyalist Loyalist Star Needs Attention Promising

    Potential Loyalist Let Go At Risk Can’t Lose Them Level of loyalty CLV low mid high mid low high
  6. Action Items Reward, Retain, Reactivate, Monetise, Minimise Toxic Loyalist Loyalist

    Star Needs Attention Promising Potential Loyalist Let Go At Risk Can’t Lose Them Level of loyalty CLV low mid high mid low high
  7. “tempatnya sempurna, pas didepan pantai losari, namun sayang acnya kurang

    dingin padahal sdh lapor namun tetep tidak bisa dingin.”
  8. “Given a list of hotels with review scores in city

    X, sort them from the best to the worst.”
  9. 1. Find similar cases from similar business 2. Pattern recognition

    in industry is an iterative process 3. Challenge yourself - question everything! 4. Should lead to action items Key takeaways