Data Project

B. Kanagasabapathi

*** * ******* ***, ****, Milpitas, CA

E-Mail: ********@*****.*** Mobile No: +1-925-***-****

CAREER PROFILE

R&D and consulting professional with 15+ years of experience in Forecasting, Statistical modeling, Simulation, Scheduling, NLP, Machine-Learning, Resource Management with strong team leadership and decision-making abilities, scoping analytical opportunities, and collaborating in response to Analytics-based RFPs. Has authored one book and published over 25 papers in international journals and conferences, also authored 6 US patents (3 granted, 3 pending).

Keywords: Innovation, Thought Leadership, Consulting, RFP, Analytics, Data Science

Skills & Accomplishment:

I.Functional Skill:

■Adept at analytics projects across several functional areas:

Customer Life Cycle Management i.e. Marketing & Sales Management (Market Basket Analysis, Competitor profiling, Pricing, Cross-sell, Up-sell), Churn Management, etc.

Capacity Management i.e. Capacity planning, resource optimization, etc.

Scheduling i.e. Scheduling freight trains in a passenger network, multi-project scheduling, resource scheduling, etc.

■Exposed and experienced in working across Retail, CPG and Logistics, Healthcare, Life Sciences, Cards and Payments, Manufacturing and Aerospace industries.

II.Software Skill:

■Tools: R, Revo R, LINDO, SPSS, MATLAB and Exposure to Python, H2O & SAS

■Databases: Oracle, IBM Netezza

■Big Data Technologies: Hadoop, Hive, Exposure to Spark

■Visulualization: Tableau, D3.js

■Platforms: Windows, Linux

III.Awards and Professional Recognition:

■Enterprise Data Security and Services (eDSS) Team Impact Award 2017

■Instep Thought Leadership award 2013-2014

■Boeing Pride Award 2011

■Editorial Board > 3; Reviewer > 5.

ACADEMIC PROFILE

Course Pursued

Institute/ Board

Year of Passing

CGPA

Class

Ph.D. (Operations Management)

Indian Institute of Technology Madras

2008

9.15

First class with distinction

Master of Engineering (Contr. Engg. and Mgmt.)

College of Engineering, Guindy, Anna University

2002

8.73

First class with distinction

PROFESSIONAL EXPERIENCE

I.Sr Data Scientist, Data & Analytics, Infosys Limited, July 2015-Sep2017

■Leading in setting up a Cognitive Analytics Practice for Customer Care IT of a large hi-tech manufacturing client

■Practicing analytics as a service model:

Leading in response to analytics as part of RFPs/RFIs

Executing projects along with team members and demonstrating benefits

Deploying innovative business analytics solutions

■Mentoring data analysts and data engineers in analytics project execution and capability development

■Achievements include:

oEnd-to-end development of a Q&A system (AskTopic) for a large manufacturing client in the US

Technical Assistance Center (TAC)/ Sales/ Engineering teams uses an internal search tool (Topic Search) for product specific troubleshooting/configuration/technical discussion/forum related documentations.

Developed a Context based search Q&A system that syntactic and semantic information at a sentence/paragraph & table level by developing a knowledge corpus using Natural Language Processing (NLP) and Machine Learning (ML) algorithms.

oDeveloped classification model for predicting the Resolution Code for a manufacturing client in North America

oEnd-to-end development of a linear programming model for supplier award oprimization for a manufacturing client

oDerived insights on returns materials authorization data for a North American manufacturing client

oGuided the team in the pilot to convert the invoice images (Chinese) to a machine readable English text for a larger CPG client

oDerived insights on the Call Center data for a North American banking client and provided with recommendations

oInvolved in developing a UDM and reporting based on business requirements for a large entertainment and guide services organization in North America.

II.Data/Research Scientist, Big Data Practice, Infosys Limited, Nov 2013-Jun 2015

■Practicing analytics as a service model for Big Data Practice:

Leading in response to analytics part of RFPs/RFIs

Executing projects along with team members and demonstrating benefits

Deploying innovative business analytics solutions

■Mentoring data analysts and data engineers in analytics project execution and capability development

■Achievements include:

oEnd-to-end development and transition of statistical model for supply disruption proof case for a US Pharma distribution company.

oTransitioning of SAS program on to R program and evaluating the performance of R for a large Wealth management company on Churn Analytics.

oDeveloped a digital data (Web Analytics) strategy road map for improving digital customer experience for a large Cards and Payments organization

oEnd-to-End migration of Adobe Omniture Site Catalyst Reports to on premise Big Data and Tableau based reports for a US based Cards and Payment organization.

III.Research Scientist, Infosys Labs, Infosys Limited, Oct 2011-Oct 2013

■Engaged in core activities such as Innovation, Consulting, Collaboration Evangelization and Influence, Thought Leadership and Branding, Prospecting and IP

■Partner/collaborate with cross-functional team (BU) as an analytical resource for solving the industry problems

■Collaborating with Universities and other research organizations

■Leading in setting-up a Railway Center of Excellence (Railway CoE)

■Mentoring research associates in analytics project execution and capability development

■Achievements include:

oProduct sales forecasting for a CPG manufacturer in North America.

oDeveloped a tool (iTRAIN) for scheduling freight trains in a fixed linear passenger rail network.

oDeveloped composite heuristics which generates rake links describing the sequence of services to be done by each rake for Rajdhani train services, Indian Railways.

oAwarded the Instep Thought Leadership for the year 2013 – 2014.

oPublished a paper titled "Tool for scheduling freight trains in a fixed linear passenger rail network." 46th ORSI International Conference on Operations Research for Data Analytics and Decision Analysis, October, 2013, Srinagar, India.

oPublished a paper titled "Composite dispatching rules to schedule passenger-coaches in Indian Railways." INFORMS Annual Meeting, October 2013, Minneapolis, US.

oFiled a patent titled “Method and System for mining frequent items and infrequent items in a large transaction database.” with IPTO and USPTO. (in Collaboration with Cambridge University)

IV.Sr Research Associate, Infosys Labs, Infosys Limited, Apr 2010-Sep 2011

■Engaged in core activities such as Innovation, Consulting, Collaboration Evangelization and Influence, Thought Leadership and Branding, Prospecting and IP

■Partner/collaborate with cross-functional team (Business Unit) as an analytical resource for solving the industry problems

■Executed analytical projects independently or with other team members

■Mentored junior team members in the project execution and capability development

■Achievements include:

oDeveloped iARM: Infosys Association Rule Mining tool which assists in understanding what products or services are likely to be purchased or subscribed together by a retail consumer.

oDevelopment of an algorithm for pattern extraction in a multi-sensor monitoring system

oFiled a patent titled "Method and system for association rule mining." with IPTO and USPTO. (Granted in 2014)

oFiled a patent titled "Method and system for detecting anomalies in a multi-sensor monitoring system." with IPTO and USPTO.

oActed as a functional consultant in the Boeing customer engagement-modeling project and awarded the Boeing Pride Award.

oSelected as a member of Chief Technical Advisory Board, International Journal of Soft Computing and Engineering (IJSCE).

oPublished a paper titled “Meta-heuristic to estimate parameters in Non-Linear Regression Models.” International Journal of Mathematics in Operational Research, Vol. 3, No. 5, pp.473–489. (ISSN: 1757-5850)

oPublished a paper titled “Performance evaluation of Adstock models using market drivers in the Consumer Packaged Goods (CPG) Industry.” International Journal of Electronic Marketing and Retailing, Vol. 5, No. 2. pp.173-186. (ISSN: 1741-1025)

V.Research Associate, Infosys Labs, Infosys Limited, Oct 2009-Mar 2010

■Engaged in core activities such as Innovation, Consulting, Collaboration Evangelization and Influence, Thought Leadership and Branding, Prospecting and IP

■Executed analytical projects independently or with other team members

■Mentored junior team members in project execution

■Answered statistical/analytical related questions in RFPs given by prospective clients

■Achievements include:

oDeveloped a model and event driven capacity prediction system for the health care industry.

oFiled a patent titled "Method and system for forecasting clinical pathways and resource requirements." with IPTO and USPTO. (Granted in 2014)

oFiled a patent titled "Method and system for logical data masking." with IPTO and USPTO. (Granted in 2014)

VI.Jr Research Associate, Infosys Labs, Infosys Technologies Limited, Aug 2007-Sep 2009

■Executed analytical projects independently or with other team members

■Mentored junior team members in project execution

■Represented the analytical team during the client meet for an RFP

■Achievements include:

oDeveloped statistical models for pricing, promotion planning, forecasting, price elasticity analysis and cannibalization analysis for a large-scale implementation with a retail client in US.

oPublished a paper titled “Forecasting volumes for Trade Promotions in Consumer Packaged Goods (CPG) Industry using market drivers.” in International Journal of Business Forecasting and Marketing Intelligence, Vol. 1, No. 2, pp.139 - 152. (ISSN: 1744-6635)

VII.Teaching and Research Assistant, Indian Institute of Technology Madras, Jul 2002-Jul 2007

■Learnt research methodology and carrying out research independently

■Mentored B Tech, M Tech and M.S. students in their respective projects

■Part of organizing several short-term courses and conferences

■Assisted in handling classes for B Tech and M Tech

■Achievements include:

oDeveloped exhaustive scheduling rules by considering project due-dates, operation/activity duration times, operation/ activity due-dates, project slack and activity slack for resource-constrained multi-project scheduling (RCMPS) problem.

oAwarded the MHRD Scholarship for pursuing doctoral research studies at IIT Madras.

oAwarded the IITM Foreign Travel Grant for participating and presenting a research paper in the 21st ARCOM 2005 conference held during September 5 – 7, 2005 at SOAS, London, UK.

oPublished a paper titled “Scheduling in resource-constrained multiple projects to minimize the weighted tardiness and weighted earliness of projects.” in International Journal of Operational Research, Vol. 7, No. 3, pp.334 - 386. (ISSN: 1745-7645)

oPublished a paper titled “Performance analysis of scheduling rules in resource-constrained multiple projects.” in International Journal of Industrial and Systems Engineering, Vol. 4, No. 5, pp.502 – 535. (ISSN: 1748-5037)

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