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Dr. Moloy De
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  • West Bengal
  • India
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Dr. Moloy De's blog post was featured

Optimal Allocation of Ambulances

Our client was an Emergency Response Management organization who handles medical, police and fire emergencies through the " 1-0-8 Emergency service". Currently the organization runs around 690 ambulances. An analysis is run on historic data extracted from client's management database. The live data input is fed to a simulation model to propose an optimal ambulance allocation providing an opportunity of cost reduction for the organization.In probability theory and statistics, the exponential…See More
Thursday
Dr. Moloy De posted a blog post

Profiling Store Visitors

Our Telecom Client was developing a Big Data Product that will profile demography (Age, Gender, Income, Ethnicity, Marital Status) of the visitors of the stores receiving feed from the wi-fi routers placed in the stores. Client used to receive daily feed of router data in its server which were then uploaded in HDFS / Hive Tables in the data lake for analysis.Maintaining data quality was a serious issue without which the reports would have been erroneous. A daily e-mail used to get generated by…See More
May 25
Nelson Kemboi Yego liked Dr. Moloy De's blog post Multivariate Outlier Detection
May 20
Dr. Moloy De posted a blog post

Telecom Customer Analytics

I was deputed to work at Lagos, Nigeria in 2011 to work for a telecom giant there. The project in hand was to develop customer analytics modules using SAS on customer's newly built Oracle data warehouse. We thought about developing following modules.Customer Churn AnalysisCalculating Product PropensitiesCustomer Lifetime Value CalculationCustomer SegmentationCustomer Churn Analysis: A subscriber was defined to have churned if he / she didn't make any revenue generating usage in past three…See More
May 19
Dr. Moloy De posted a blog post

Multivariate Outlier Detection

I was given 3 GB of Machine Generated data being fed by 120 sensors (5 records every second) in an excel format. The task in hand was to mine out interesting patterns, if any, from the data.I fed the data in R in my local machine and performed various descriptive and exploratory analysis to have some insights. Customer was also looking for some low cost maintenance mechanisms for their machines. So I  thought if I could study the outliers and provide some information about system health. This…See More
May 16
Dr. Moloy De updated their profile
May 16

Profile Information

Short Bio
Got my PhD in Statistics in 2007 from Calcutta University. Have been in software industry since 1997. Currently working in IBM as a data scientist.
My Web Site Or LinkedIn Profile
http://https://www.linkedin.com/in/dr-moloy-de-3b180010/
Field of Expertise
Data Science, Machine Learning, Business Analytics
Professional Status
Consultant
Years of Experience:
22
Your Company:
IBM India
Industry:
IT
Your Job Title:
Data Scientist
How did you find out about DataScienceCentral?
LimkedIn
Interests:
Contributing, Networking, New venture
What Other Analytical Website do you Recommend?
http://https://demoloy.wixsite.com/deepdata

Dr. Moloy De's Blog

Optimal Allocation of Ambulances

Posted on June 12, 2019 at 6:51am 0 Comments

Our client was an Emergency Response Management organization who handles medical, police and fire emergencies through the " 1-0-8 Emergency service". Currently the organization runs around 690 ambulances. An analysis is run on historic data extracted from client's management database. The live data input is fed to a simulation model to propose an optimal ambulance allocation providing an opportunity of cost reduction for the organization.

In probability theory and statistics, the…

Continue

Profiling Store Visitors

Posted on May 23, 2019 at 9:29pm 0 Comments

Our Telecom Client was developing a Big Data Product that will profile demography (Age, Gender, Income, Ethnicity, Marital Status) of the visitors of the stores receiving feed from the wi-fi routers placed in the stores. Client used to receive daily feed of router data in its server which were then uploaded in HDFS / Hive Tables in the data lake for analysis.

Maintaining data quality was a serious issue without which the reports would have been erroneous. A daily e-mail used to get…

Continue

Telecom Customer Analytics

Posted on May 17, 2019 at 4:31pm 0 Comments

I was deputed to work at Lagos, Nigeria in 2011 to work for a telecom giant there. The project in hand was to develop customer analytics modules using SAS on customer's newly built Oracle data warehouse. We thought about developing following modules.

  1. Customer Churn Analysis
  2. Calculating Product Propensities
  3. Customer Lifetime Value Calculation
  4. Customer Segmentation

Customer Churn…

Continue

Multivariate Outlier Detection

Posted on May 15, 2019 at 7:30pm 0 Comments

I was given 3 GB of Machine Generated data being fed by 120 sensors (5 records every second) in an excel format. The task in hand was to mine out interesting patterns, if any, from the data.

I fed the data in R in my local machine and performed various descriptive and exploratory analysis to have some insights. Customer was also looking for some low cost maintenance mechanisms for their machines. So I  thought if I could study the outliers and provide some information about system…

Continue

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