India Analytics and Big Data Summit 2015

India Analytics and Big Data Summit 2015

Location : Mumbai

Date : 3 Feb 2015

Name of the Speaker : Kanwal Prakash Singh, Data

Scientist

Company Name : Housing

www.unicomlearning.com

www.bigdatainnovation.org



● Information and data

● Data - Raw Facts or Figures

● Information - Processed facts, sensible

● Information is derived from data

● examples



● Why do we need data ?

● Some scenarios where scarcity of data led to dangerous consequences

○ Earth is Flat ○ Columbus and America vs India ○ Prosperity will last forever then stock markets crashed



● Take a guess , data collected per day - scale

○ Housing ○ Linked In ○ Facebook ○ Zomato



● It’s not the Data it’s the questions you seek form data

● Are you expecting the right questions from data ? ○ do you have adequate amount to test your

hypothesis, ○ if so are you sure you are not making strong beliefs

by overlooking on some bias in data ! ○ Correlation != causation



● Analytics @ housing

● What we capture, what we do with that -

● Optimise Operations / data collection in-house / recommendations and understanding users / user bucketing

● Forecasting, Price Estimates

● Heatmaps - Demand Supply , Price , CFI





● How can Data science be used for optimising operations ? ○ Flat Duplication ○ Listing Decay ○ Forecasting - Supply / Demand / Load ○ Route Optimisation

● Problem formulation followed by solution through Statistical methods

● Follow the curiosity and desire for perfection `



● utilization (useful DC hours/total available DC hours) metric is not up to the mark.

● Why ?

● Could have been a load issue (not enough listing requests hence DC sat idle) but that was not the case



● In fact it appeared we were overloaded.

● Again how ?

● Data Collectors were travelling a lot ( between two jobs)



● Hence came the idea of Branching

● The aim was two-fold: ○ reduce the travel time per flat ○ develop capability to serve a request within 45

minutes

● Done ? Awesome, problem identification done :)



● Not Really Done !

● There was a vast scope of improvement in the Scheduling Algorithm

● So all in all two problems ○ Find New offices ( delocalisation) ○ Optimise the Scheduling algorithm



● New Office Identification (Constrained Cost Optimisation)

● Expanding through setup of new Branches

● Estimation of branch locations

● Costs and capacities of new branches

https://drive.google.com/a/housing.com/?usp=gmail#folders/0BzJYYP_-l_ZWejNwRjRzQ3RJYzg











Penalty Additions



● Bingo ! Nailed it







● Scheduling Algorithm for collection and distribution Systems

● Optimal allocation of timed tasks (Listing Requests) to the work force (Data Collectors)

● Minimum cost maximum matching in a graph



● Hungarian Algorithm

● Optimal Allocation of jobs to people - each person has some cost to perform a job

● Minimum Cost Maximum Matching in a Bipartite Graph

○ Matching - Set of Edges, with no vertices repeated













● Nailed it now :D



● Nailed it now :D

● 30 % operational cost reduced

● The best part - solution is transferable ○ All Delivery and collection systems

○ Any general Density Based Branching model



● Takeaways

○ Data is brahmastra

○ A noob cant master brahmastra, so rise to the levels of Elite Warriors - (Mahabharata had several)

○ How ? ■ Mindset - Curious / Hardworking/ Focused ■ Read/ Learn - Blogs / Books / Courses / Peers ■ Apply - Personal Projects / Kaggle ■ Teach



● Acknowledgements

○ Mr. Shanu Vivek, Operations BI, Housing ○ Mr. Vaibhav Krishan, Sr. Quant Analyst ○ Mr. Jaspreet Saluja, Co-Founder, Housing ○ Mr. Rishabh Gupta, Operations, Housing ○ Mr. Arpit Agarwal, Operations, Housing ○ Mr. Abhishek Anand, CTO, Housing ○ Mr. Nitin Sangwan, DSL, Housing



Speaker Name: Kanwal Prakash Singh

Email ID: [email protected]

India Analytics and Big Data Summit 2015

Organized by UNICOM Trainings & Seminars Pvt. Ltd.

[email protected]

THANK YOU

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India Analytics and Big Data Summit 2015

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