ses statistical models and machine learning techniques to forecast future outcomes.
Example: Predicting customer churn rates to implement retention strategies.
Prescriptive Analytics:
Recommends actions based on predictive models to achieve desired outcomes.
Example: Optimizing inventory levels based on sales forecasts to reduce holding costs.
A/B Testing:
Compares two versions of a variable to determine which performs better.
Example: Testing two different marketing campaigns to see which one generates more leads.
Candidatei-me pessoalmente. Fiz uma entrevista na empresa Rasdaman.
Entrevista
Rasdaman is an open-source project owned by a computer science professor Prof.Dr. Peter Baumann. The process started with me expressing interest in his research project (Rasdaman) and scheduling an in person appointment with him. Scheduling the appointment with him was quite quick and took 4 days to get an appointment. The interview was an in person interview with Prof.Dr. Peter Baumann (Founder of Rasdaman) at his office in Bremen.
Perguntas de entrevista [1]
Pergunta 1
The interview basically consisted of him asking basic questions on programming proficiency and then him guiding me over the entire development stack and upcoming projects. Then, he explained me the on boarding program and asked me the number of hours I can devote a week if I wish to sign a working contract.
Questions were quite open ended such as What were the hardest and most recents projects I worked on, the biggest challenge I've encountered so far, etc.