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

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: kanwalprakashsingh@gmail.com
India Analytics and Big Data Summit 2015
Organized by
UNICOM Trainings & Seminars Pvt. Ltd. 
contact@unicomlearning.com
THANK YOU

India Analytics and Big Data Summit 2015

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