Dr. Moloy De
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  • West Bengal
  • India
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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.
IBM India
Job Title:
Data Scientist
Job Function:
Data Science, Machine Learning, Business Analytics
LinkedIn Profile:
Contributing, Networking, New venture

Dr. Moloy De's Blog

Forecasting with Lead Regression

Posted on June 21, 2019 at 3:10am 0 Comments

Our client was a pioneering company in producing and delivering Roof Shingles. Their main plant in Minnesota and they have around 25 more plants across US. Client implemented 100’s of sensors along the assembly line that are streaming nano-second data to their Spark Data-lake.

Viscosity of input fluid is an important factor to maintain quality of production of roof shingles. Data shows there are unwanted peaks (outliers) in viscosity data which client wanted to eliminate. Following…


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…


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…


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…


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