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Data Mining Problems in Retail

Highly Scalable

Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods.

Retail 152
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Conducting log analysis with an observability platform and full data context

Dynatrace

With the extent of observability data going beyond human capacity to manage, Grail is the first purpose-built causational data lakehouse that allows for immediate answers with cost-efficient, scalable storage. Out of 26 million customers, some 18 million use their mobile apps to access digital services through the web.

Analytics 189
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A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

The Netflix TechBlog

We worked in different industries before joining Netflix, including tech, entertainment, retail, science policy, and research. I started working at a local payment processing company after graduation, where I built survival models to calculate lifetime value and experimented with them on our brand new big data stack.

Analytics 207