Leveraging Data Science in the Automotive Industry
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Transcript of Leveraging Data Science in the Automotive Industry
Leveraging Data Science to power e-commerce.
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● About Cars.com & it’s business
Agenda
● Data Science at Cars.com Inc○ Data Science Challenges○ Identifying duplicate vehicles○ Building a core DS team
● Questions
● DS is more than ML, much more!○ An overall perspective○ Working example
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About cars.com
A platform/decision engine that helps you sell/buy a car? NO.
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About cars.com
We are more than that, we manage the entire lifecycle of your car.
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About cars.com
How do we make money?
Subscriptions
ModelAdvertisements
0 Margins in vehicle sales.
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About cars.com
Value proposition to users?A few products.
Place your screenshot here
- Relevant Search Results
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About cars.com
Value proposition to users?
- Relevant Search Results
- Pricing Tool & Car valuationPlace your screenshot here
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About cars.com
Value proposition to users?
- Relevant Search Results
- Pricing ToolPlace your screenshot here
- Car & Dealers’ reviews and ratings
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About cars.com
Place your screenshot herePlace your screenshot here
- All of these features are wrappers over predictive models; aka data products.
- Lean agile methodology across the company.
- They have underlying data pipelines, model building and AB testing platforms; aka technical products.
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Data Science Challenges @Carsdotcom
Start off with a user’s first foot print
Diverse & Relevant CarsIntuitive & Great Product Exp
Understand user while they
research & browse
Enrich experience with data
products
Help them manage
vehicles they own
Help them sell cars. Enrich
experience with data products
Acquire Users via Marketing
Help them manage
their inventoryCo
nsu
me
r / B
uye
r
Ind
ivid
ua
l S
elle
r / D
ea
ler
Facebook bidding
SEO/SEM
Improve SIte Relevance
Relevant Site Ads
No duplicate cars
Data widgets and tools,
Compare your car with
existing cars (Dealers)
Pricing badging,
predicting time to sell,
Similar Cars
Vehicle Valuation, Car
Service Predictions
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Data Science Challenges
Unstructured data; a lot of it
Decode car context using word embeddings
We learn vectors for each feature or attribute of the
vehicle segments and later aggregate those
vectors to form a vehicle vector
Resulting similar vehicles are agnostic of user (not
dealer) context and behaviour
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Most people when they talk about Machine Learning at an e-commerce company
Predictive Model
This is how I saw Data Science in 2011
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In 2013
Predictive ModelData Ingestion
Data Analysis
Modeling Strategy
Data
Transformation
Data Validation
Model
Validation/Evaluation
Models as a service
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Fetch DataWrite
analysis
scriptsAnalyse
Results
Verify
Assumptions
Debug
Codes
Try new
approaches.Clean it
Verify it
Plot it.
Reflection
OOT Analysis
Effect on KPIs
Local & Global
Sampling
MDI
Modeling
Strategizing
Outliers
Removal
Data AnalysisAcquire Right
Data
Ideation Finalise Target
Variable
DashboardsReports
Insights &Deep Analytics
A/B TestingImpact Evaluation
Modeling & Data Products
Data Science
Process
Business Process
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The whole picture - DS at Cars.com Inc. 2017
Predictive Model
Integrated Job Management, Monitoring, Data/Model Evaluation/Visualization
Logging & Model Tuner
Data Ingestion
Data Analysis
Modeling Strategy
Data
Transformation
Data Validation
Model
Validation/Evaluation
Models as a
service
Real time Data
Batch Processing
Model Config
Model
Database/Back end
User facing
“
Inspiration- Proving media is biased towards certain political organizations and their ideologies
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As a DS, sooner or later you’d want to gather more skills than just ML/AI
Product and Vision- Empower users with custom data science models to analyze the way media covers current affairs- Provide insight into crowd-sourced reviews of media organizations & political figures- Goto tool for data journalists, political strategists and enthusiasts
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Prototype in about 300 hours
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Questions?
Reach out to me at [email protected]; @addhyan_pandey; [email protected]
Growing Cars’s Data Science team. Hiring at various levels.
So, if you’re into cars & data science then cars.com is the place for you.