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Anup M.

Senior Data Scientist at Amazon

Bengaluru

13+ years of work experience

Amazon
Oct 20179 yrsPresent

Bengaluru Area, India

Built and scaled applied science teams delivering production ML, LLM, NLP, and Computer Vision solutions supporting conversational AI, advertising automation, responsible AI, and global consumer payments intelligence. Build large-scale ad moderation and ranking pipelines using NLP and CV, increasing automation efficiency from 20% to 60% and reducing advertisement defects by 66%. Designed Responsible AI evaluation systems for conversational agents to detect sensitive information, fairness risks, and trust issues using advanced NLP and real-time model monitoring. Orchestrated a 10-member cross-functional Data Science and Data Engineering team delivering predictive and prescriptive analytics supporting acquisition, engagement, fraud detection, and operational optimization. Delivered data-driven intelligence powering product, marketing, finance, and operations decisions through production ML pipelines and experimentation-driven insights. Built scalable AI workflows enabling automated decision-making, operational intelligence, and continuous model improvement via human-in-the-loop feedback systems.
Shaw Academy
May 20161 yr 6 mosOct 2017

Bengaluru Area, India

Shaw Academy
Apr 20161 yr 7 mosOct 2017

Built and led an 11-member cross-functional Data Science, ML Engineering, and BI team during high-growth startup expansion. Delivered 300% year-on-year revenue growth and reduced operational costs by 40% through ML-driven automation, forecasting, and analytics-driven decision-making. Developed predictive models for marketing science including LTV estimation, campaign optimization, spend optimization, audience segmentation, and customer lifecycle analytics. Built forecasting and pricing analytics systems supporting revenue optimization and product growth strategy. Led development of AI-powered products including chatbots, automated summarizers, and intelligent customer engagement systems. Designed statistical learning frameworks for customer profiling, acquisition strategy, and operational optimization.
American International Group
Jan 20151 yr 4 mosApr 2016

Greater Bengaluru Area

• Leading team to develop, optimize and deploy critical and complex statistical and mathematical models in Insurance domain to support Fraudulent Claims Detection, Brokers Tearing and Compensation, Loss for Renewals, and Subrogation models. • Building a demographic segmentation to guide Consumer Marketing Strategy and define Behavioral Micro-Segments to identify the best target customers base for cross sell opportunities leveraging advanced analytics capabilities and technology solutions.
American International Group
Jan 20151 yr 4 mosApr 2016

Built and led a 5-member Data Science team delivering production ML systems including fraud detection, renewal forecasting, loss prediction, and operational risk modeling. Developed demographic segmentation and behavioral micro-segmentation models to drive personalized marketing strategy and cross-sell opportunities. Delivered analytics solutions supporting operational efficiency and strategic business planning.
Capgemini
Mar 20131 yr 11 mosJan 2015

Bangalore

• Supported the Strategic Insight Team to lead and implement analytics projects ranging from data mining, MIS and dashboard projects to more complex predictive models and social media analytics. • Led team to develop predictive analytical models to help predict efforts needed and to manage resource allocation for application maintenance projects. The model provided solution to achieve optimum resource utilization of more than 85% for each project and an overall resource utilization of 92%. • Performed prescriptive analytics by synthesizing operational data, statistical methods, and business rules to provide strategic insights to business units. Feedback based controlling model so developed will show the implication of each decision option and suggests how to take advantage of a future opportunity or mitigate a future risk. • Instrumental role in project management analysis, and report content for “Application Landscape Report, 2014”, Capgemini’s global publication to help companies achieve a better grasp of the current state of application landscapes and a deeper understanding of the modernization trends in Cloud, Mobile, Social and Analytics domain.
Capgemini, India
Mar 20131 yr 11 mosJan 2015

Built and led a 4-member Data Science team developing predictive models optimizing project planning and resource allocation, achieving overall resource utilization of 92%. Delivered enterprise forecasting and analytics frameworks supporting operational planning and performance monitoring. Contributed to global analytics thought leadership through participation in Capgemini’s Application Landscape Report.

Anup’s AI Stack

cursor
cursor
elevenlabs
elevenlabs
hugging face
hugging face
kiro
kiro
langchain
langchain
langgraph
langgraph

Education

The Chinese University of Hong Kong

Master of Business Administration, Entrepreneurship/Entrepreneurial Studies

The Chinese University of Hong Kong

20101 yr2011

MBS, Business Laws

National Law School of Indian University

20112 yrs2013

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Headline

Senior Data Scientist at Amazon

About

• Big Data and Analytics Consulting and Business Development experience, and ability to understand business needs and apply analytical concepts to provide business solutions across multiple sectors. • Exposure in working directly with clients to conceptualize, design and deliver high-quality solutions and insightful analysis on a variety of projects ranging in both complexity and scope. • Hands on experience in utilizing – - Statistical Analytics tools (e.g., Revolution R, SAS, Python (StatsModels, Scikit-Learn), PL/SQL, and MATLAB), - Business Intelligence tools (e.g., QlikView, Tableau, SAP Business Objects), - Big Data Techniques (e.g., Hadoop, Hive, Pig, Map Reduce, MPI, OpenMP, Mahout), and - Machine Learning Techniques (e.g., Regressions, Trees, Neural Nets, Support Vectors, Text Analytics). • Certified Base Programmer for SAS9.

Location

Bengaluru

AI stack

cursor

elevenlabs

hugging face

kiro

langchain

langgraph

Work experience

Senior Data Scientist at Amazon, Oct 2017 - Present · 9 yrs, Bengaluru Area, India, Built and scaled applied science teams delivering production ML, LLM, NLP, and Computer Vision solutions supporting conversational AI, advertising automation, responsible AI, and global consumer payments intelligence. Build large-scale ad moderation and ranking pipelines using NLP and CV, increasing automation efficiency from 20% to 60% and reducing advertisement defects by 66%. Designed Responsible AI evaluation systems for conversational agents to detect sensitive information, fairness risks, and trust issues using advanced NLP and real-time model monitoring. Orchestrated a 10-member cross-functional Data Science and Data Engineering team delivering predictive and prescriptive analytics supporting acquisition, engagement, fraud detection, and operational optimization. Delivered data-driven intelligence powering product, marketing, finance, and operations decisions through production ML pipelines and experimentation-driven insights. Built scalable AI workflows enabling automated decision-making, operational intelligence, and continuous model improvement via human-in-the-loop feedback systems.

Director, Data Science at Shaw Academy, May 2016 - Oct 2017 · 1 yr 6 mos, Bengaluru Area, India

Director of Engineering at Shaw Academy, Apr 2016 - Oct 2017 · 1 yr 7 mos, Built and led an 11-member cross-functional Data Science, ML Engineering, and BI team during high-growth startup expansion. Delivered 300% year-on-year revenue growth and reduced operational costs by 40% through ML-driven automation, forecasting, and analytics-driven decision-making. Developed predictive models for marketing science including LTV estimation, campaign optimization, spend optimization, audience segmentation, and customer lifecycle analytics. Built forecasting and pricing analytics systems supporting revenue optimization and product growth strategy. Led development of AI-powered products including chatbots, automated summarizers, and intelligent customer engagement systems. Designed statistical learning frameworks for customer profiling, acquisition strategy, and operational optimization.

Manager, Data Science Services at American International Group, Jan 2015 - Apr 2016 · 1 yr 4 mos, Greater Bengaluru Area, • Leading team to develop, optimize and deploy critical and complex statistical and mathematical models in Insurance domain to support Fraudulent Claims Detection, Brokers Tearing and Compensation, Loss for Renewals, and Subrogation models. • Building a demographic segmentation to guide Consumer Marketing Strategy and define Behavioral Micro-Segments to identify the best target customers base for cross sell opportunities leveraging advanced analytics capabilities and technology solutions.

Data Science Manager at American International Group, Jan 2015 - Apr 2016 · 1 yr 4 mos, Built and led a 5-member Data Science team delivering production ML systems including fraud detection, renewal forecasting, loss prediction, and operational risk modeling. Developed demographic segmentation and behavioral micro-segmentation models to drive personalized marketing strategy and cross-sell opportunities. Delivered analytics solutions supporting operational efficiency and strategic business planning.

Senior Consultant, Business Intelligence and Analytics at Capgemini, Mar 2013 - Jan 2015 · 1 yr 11 mos, Bangalore, • Supported the Strategic Insight Team to lead and implement analytics projects ranging from data mining, MIS and dashboard projects to more complex predictive models and social media analytics. • Led team to develop predictive analytical models to help predict efforts needed and to manage resource allocation for application maintenance projects. The model provided solution to achieve optimum resource utilization of more than 85% for each project and an overall resource utilization of 92%. • Performed prescriptive analytics by synthesizing operational data, statistical methods, and business rules to provide strategic insights to business units. Feedback based controlling model so developed will show the implication of each decision option and suggests how to take advantage of a future opportunity or mitigate a future risk. • Instrumental role in project management analysis, and report content for “Application Landscape Report, 2014”, Capgemini’s global publication to help companies achieve a better grasp of the current state of application landscapes and a deeper understanding of the modernization trends in Cloud, Mobile, Social and Analytics domain.

Business Intelligence Consultant at Capgemini, India, Mar 2013 - Jan 2015 · 1 yr 11 mos, Built and led a 4-member Data Science team developing predictive models optimizing project planning and resource allocation, achieving overall resource utilization of 92%. Delivered enterprise forecasting and analytics frameworks supporting operational planning and performance monitoring. Contributed to global analytics thought leadership through participation in Capgemini’s Application Landscape Report.

Education

Master of Business Administration, Entrepreneurship/Entrepreneurial Studies, The Chinese University of Hong Kong

MBS, Business Laws, National Law School of Indian University