Store Attribute model
Provide recommendation to field management, senior planning, store operations management for changes to store profile
Conduct store segmentation based on regional, lifestyle, and customer type attributes.
Recommend product assortment and merchandising based on in store and online sales with respect to demographic information among different store segments
Spatial-Oriented and Social-Aware Business
Location Optimization
To find the best locations for starting a new business and placing the corresponding advertisements. Considered the social, spatial and financial simultaneously.
Budget Allocation for Hub and Broadcasting Media
To chooses the locations for placing ads, as well as selecting some broadcasting media under a budget constraint
Algorithm: Advertisements Selection with Dynamic Programming (ASDP)
K/LAB brand highlights
- style-minded millennial
- data informed
- real time fashion
- trend driven product
- testing ground environment
- customer engage
- stay chic and save
- user inshore experience
- integrate simplistic fixture package act does not feel 'over design'
Strike a pose
Think out loud
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- Image Recognition in Python
- Basic Github
- IPython and Using Notebooks
- WGSN Insight
- Cold Start Analysis
- Optimal Frequency
- Google Analytics Reports - Key KPIs
- Use Cases by Artificial Intelligence
- User Journey
- Store Attribute Model
- Product Affinity Segmentation
- Marketing Mixed Modeling
- Things must to remember
- Check Bivariate Distribution in R
- Check Univariate Distribution in R
- Grep Strs in R
- Clarifai Python API in Python
- Metadata Management
- Jump Diffusion
- Brownian Motion
- Common Unix Command
- ToDate Format in Pig
- Read Json in Pig
- Python UDF in Pig
- Machine Learning Models Summary
- 2 - Scale Google Trend Data
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