Which Problems Data Science Can Solve?
Published in
1 min readDec 18, 2018
- Marketing — How Different Features of the product affect the sales (A/B Testing)— Time Series Trends of Features in Products, Profiling Customers, Recommendation Engines, Sentiment Analysis and Chatbots using NLP.
- Image Processing — Medical Diagnosis, Traffic Analysis, Astrophysics, Object detection in an image, Driverless Cars, Robotics.
- Finance and Insurance— Churn rate modelling, Fraud Detection, Credit Lending, Algorithmic Trading, Risk Analysis and Modeling, Customer
- Healthcare — Churn rates of patients, when will they come back, classifying the episodes into codes, Insurance Fraud, Clinical trials and relevant data analysis
- Digital Transformation — Network Intrusion Detection, Sorting out the dependency hell.
- Natural Language Processing — Chatbots,
Feel free to point more in the comments and I will include them in the list.