Contact
+91-9811-534119 (Mobile)
Anshuman Gupta, PhD
anshumanxgupta@gmail.com Vice President - Data Science at MiQ Digital India
Bengaluru Area, India
www.linkedin.com/in/anshuman-
gupta-phd-414b569 (LinkedIn)
Summary
Top Skills High performance, dynamic and results oriented individual
Optimization committed to leveraging interdisciplinary research, analytics,
Analytics computing technologies and human capital for building world class
Business Analysis products and organizations.
Languages
English (Native or Bilingual) Experience
Hindi (Native or Bilingual)
MiQ Digital India
Publications Vice President - Data Science
May 2019 - Present
Design of Combinatorial Libraries of
Optimal Size Bengaluru Area, India
Midterm Supply Chain Planning
Under Demand Uncertainty:
Customer Demand Satisfaction and
Pitney Bowes
Inventory Management Director Data Science
December 2016 - March 2019 (2 years 4 months)
Market-Based Pollution Abatement
Strategies: Risk Management Using Noida (India), Pune (India), Danbury (CT, USA)
Emission Option Contracts -- Responsible for creating a horizontal data science and analytics practice and
A Stochastic Optimization Case
delivering on the following strategic initiatives for the organization:
Study using ILOG CPLEX Concert
Technology: Dual Sourcing Model for * People: Aggressively growing a global team of high caliber data scientists
Managing Supply Chain Disruptions * Process: Formalizing and socializing data science delivery process
Computational Modelling of * Platform: Evangelize PB’s “Data Fusion Platform” and grow DS user base
Genome-Side Transcription
Assembly Networks Using a Fluidics * Products: Conceptualize & create innovative solutions leveraging ML, AI &
Analogy data science
-- Key projects & initiatives delivered using data science/ML/AI:
* Expected delivery time prediction for e-commerce shipments
* Service call elimination through preventative maintenance based on IoT data
* Customer segmentation & churn analytics
* Recommendation engine for meter supplies (ink, toner, etc.)
* A/B testing framework for marketing campaign optimization
Cognizant Technology Solutions
Director (Head - Data Science)
January 2014 - November 2016 (2 years 11 months)
Gurgaon, India
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-- Incubated the Data Science Program for Cognizant Analytics (India). Lead
and operationally managed a team of high caliber data scientists that grew
from 2 associates in January 2014 to over 300+ associates by Q4 2016
-- Head of the Products, Platforms & Nonlinear Solutions program
-- Designed and developed non-linear, IP based solutions leveraging cognitive
computing, machine learning, NLP/text mining and Big data technologies
-- Drove new capability creation and overall up-skilling of the entire DS
delivery team in emerging areas such as AI, Cognitive Computing, Geospatial
Analytics, Natural Language Processing, Bayesian Forecasting, etc.
-- Conceptualized, formulated & executed external partnerships with various
software vendors, 3rd party data providers, learning/training institutes &
universities
-- Program managed client engagements across multiple geographies and
lead CXO level discussions on creating business value from the use of
advance analytics
-- Supported the sales and pre-sales process by evangelizing innovation led
advance analytics capabilities through client demos, responding to RFP/RFIs
etc.
-- Conceptualized and developed multiple ML/AI based solutions:
>> Insurance: Customer churn prediction, Optimal retention strategy design
>> IT Operations: Network intrusion detection
>> Retail: Customer segmentation, RFM analysis and next best product
recommendation, POS fraud detection
>> Web Analytics: Cart abandonment prediction through analysis of
clickstream data
>> Healthcare/Life Sciences: Therapy adherence prediction and management
>> Device Analytics: Predicting time to failure and preventative maintenance
management
Indicus Analytics (A Nielsen Company)
Vice President - Chief Data Scientist
August 2012 - January 2014 (1 year 6 months)
- Building and leading a high-performance team of analytics, econometrics,
GIS, database and image processing experts in the development and delivery
of "big data" driven BI tools for location based analytics. Specific application
areas include - location based marketing, retail store location, etc.
- Managing and aligning multi-disciplinary research collaboration networks
across industry and academia for creating intellectual and commercial value
through cutting edge research, analytics and software development
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SCA Technologies
3 years
Project Manager
April 2010 - August 2012 (2 years 5 months)
- Extensive experience in strategy consulting and business process
re-engineering (BPR) project scoping, planning and execution, client
communication, risk management, change management
- Delivered multiple strategic consulting and supply chain analytics projects.
Total (cumulative across projects) savings achieved by clients in the range of $
50 MM.
- Expertise in leading multifunctional teams (analytics, software, database)
in delivering analytics, consulting and software projects on time and under
budget
Senior Supply Chain Consultant
September 2009 - March 2010 (7 months)
- Deep expertise in supply chain analytics, strategic sourcing, advance
optimization techniques, activity based costing (ABC), data analysis and
reporting, business process analysis, and capital investment planning
Independent Quantitative Analyst and Trader
Independent Quantitative Analyst and Trader
September 2008 - August 2009 (1 year)
- Developed and implemented proprietary trend following based quantitative
trading strategies for the Indian financial markets
Penn State University
11 years
High Performance Computing (HPC) Researcher
August 2005 - July 2008 (3 years)
- Played the lead role in increasing the number of users of optimization related
software and services by over 100% across the university
- Conducted licensing and pricing negotiations with multiple software vendors
- Participated in cutting edge hardware (IBM Blue Gene, Cell Blade) and
software (Star-P, Distributed Matlab) evaluation projects
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- Conducted “on-demand” lectures and training sessions for faculty and
graduate students on various topics including distributed computing, big data
analytics, etc.
Post Doctoral Scholar
August 2002 - July 2005 (3 years)
State College, Pennsylvania Area
- Conducted independent and collaborative research on real options based
planning strategies in pharmaceutical product portfolio management and
emissions trading
- Developed a planning and scheduling decision support tool for optimization of
reaction injection molding press operations for Centria, Pittsburgh, PA
- Investigated application of graph theoretical concepts to large-scale, data-
intensive problems in bioinformatics and systems biology
- Played a key role in mentoring and setting the research direction of several
graduate students
Graduate Research Associate
August 1997 - July 2002 (5 years)
State College, Pennsylvania Area
- Thesis Topic: Supply Chain Management Under Uncertainty
- Thesis Advisor: Professor Costas D. Maranas (PhD, Princeton University)
Education
Indian Institute of Technology, Bombay
B. Tech., Chemical Engineering
Penn State University
PhD (Dual), Chemical Engineering and Operations Research
Springdales, Dhaula Kuan
Stanford University
Stanford Advanced Project Management Program, Leadership for Strategic
Execution
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