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Ashin Mukherjee

from Redwood City, CA
Age ~38
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Connected to:
Agomoni Mukherjee, 57Ajay Mukherjee, 70Ajit K Mukherjee, 91Amar N Mukherjee, 38Amita Mukherjee, 69Amitava Mukherjee, 49Anshuman Mukherjee, 41Anuj Mukherjee, 32Anuradha Mukherjee, 54Apurba N Mukherjee, 47

Ashin Mukherjee Phones & Addresses

  • 650 Bair Island Rd UNIT 1305, Redwood City, CA 94063
  • Mountain View, CA
  • Ann Arbor, MI

Work

Company: University of michigan, dept. of statistics Sep 2008 Position: Research assistant

Education

School / High School: University of Michigan- Ann Arbor, MI Sep 2008 Specialities: PhD in Statistics

Skills

My PhD research focused on low-rank mode... • matrix completion and recommender system... • bio-informatics • marketing science and so on. I have also...

Languages

English • Bengali • Hindi

Interests

Cricinfo • Jstor • English (Language) • Reading • Sports • Imdb • Ayn Rand • Tennis Warehouse • Satyajit Ray • Faking News • Roger Federer • Studentuniverse • Cars and Automobiles • Movies • Ann Arbor • Bleacher Report • Amazon • University of Michigan • Michigan • Traveling • Tamron Lenses • Central Station

Industries

Computer Software

Resumes

Resumes

Ashin Mukherjee Photo 1

Senior Director Of Data Science

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Location:
San Francisco, CA
Industry:
Computer Software
Work:
Quantifind
Senior Director of Data Science
Walmart Ecommerce Jul 2013 - Apr 2016
Data Scientist
University of Michigan Sep 2008 - May 2013
Research and Teaching Assistant
Google Jun 2010 - Aug 2010
Decision Support Intern Analyst
Systat Softwares Asia Pacific May 2005 - Jul 2005
Summer Intern
Education:
University of Michigan 2008 - 2013
Doctorates, Doctor of Philosophy, Statistics Indian Statistical Institute, Kolkata 2006 - 2008
Indian Statistical Institute, Kolkata 2003 - 2006
Bidhannagar Government High School
Skills:
Statistical Modeling
R
Statistics
Machine Learning
Data Mining
Time Series Analysis
Predictive Modeling
Latex
Matlab
Logistic Regression
Statistical Computing
Mathematical Modeling
Sql
Research
Probability
Hive
Interests:
Cricinfo
Jstor
English (Language)
Reading
Sports
Imdb
Ayn Rand
Tennis Warehouse
Satyajit Ray
Faking News
Roger Federer
Studentuniverse
Cars and Automobiles
Movies
Ann Arbor
Bleacher Report
Amazon
University of Michigan
Michigan
Traveling
Tamron Lenses
Central Station
Languages:
English
Bengali
Hindi
Ashin Mukherjee Photo 2

Ashin Mukherjee Ann Arbor, MI

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Work:
University of Michigan, Dept. of Statistics

Sep 2008 to 2000
Research Assistant
University of Michigan, Dept of Statistics
Ann Arbor, MI
Sep 2008 to Dec 2010
Graduate Student Instructor
Google Inc.
Seattle, WA
Jun 2010 to Sep 2010
Decision Support Intern Analyst
Systat Softwares Asia Pacific Ltd.
Bangalore, Karnataka
May 2005 to Jul 2005
Summer Intern
Education:
University of Michigan
Ann Arbor, MI
Sep 2008
PhD in Statistics
Indian Statistical Institute
Kolkata, West Bengal
2006 to 2008
MS in Statistics
Indian Statistical Institute
Kolkata, West Bengal
2003 to 2006
BS in Statistics
Skills:
My PhD research focused on low-rank models for high-dimensional multivariate data with applications in multi-task learning, matrix completion and recommender systems. Another area of my expertise is predictive modeling using machine learning methods with applications in web-mining, bio-informatics, marketing science and so on. I have also been involved in multiple interdisciplinary data-driven projects that not only needed strong analytical and computational skills but also put a premium on communication skills.

Publications

Us Patents

System And Method For Post-Processing Demand Forecasts

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US Patent:
20160239855, Aug 18, 2016
Filed:
Feb 17, 2015
Appl. No.:
14/624054
Inventors:
- Bentonville AR, US
Ashin Mukherjee - Mountain View CA, US
Assignee:
Wal-Mart Stores, Inc. - Bentonville AR
International Classification:
G06Q 30/02
G06Q 10/08
Abstract:
A system and method for post-processing demand forecasts is presented. A forecast for a set of stock keeping units (SKUs) is received. Thereafter, a series of adjustments is are performed on the forecast. One adjustment involves determining how often orders are fulfilled by a drop ship vendor and adjusting a forecast to adjust for the fact that a portion of the forecast will never need to be ordered and stored at the retailer's warehouses. Another adjustments involves determining if there is a parent SKU the contains multiple child SKUs and adjusting accordingly. Another adjustment involves determining in there are any bundle SKUs that could be added to an individual SKU's forecast. Another adjustment involves adjusting a forecast based on a special buy. Another adjustment involves removing possibly dead items. Other embodiments are also disclosed herein.
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Ashin Mukherjee from Redwood City, CA, age ~38 Get Report