Karthik C
EnglishAsia/Kolkata Asia/Kolkata
About
Karthik is a seasoned Data Scientist/AI Practitioner with over 14 years of experience spanning roles at Mu Sigma, Infogain, and Amazon, where he significantly contributed to Data Science and AI transformations. He has deep-domain expertise in Retail, e-commerce, EdTech, Healthcare & Life Sciences.\nKarthik started his career as a Data Scientist in Mu Sigma at 2012 solving business problems for Fortune 100 clients. At Amazon, he served as a Data Scientist for Pricing Analytics, building ML-driven pricing strategies to deliver optimal customer value globally. He later led Alexa AI (Knowledge) for the ANZ region, enhancing Alexa’s intelligence and engagement through cutting-edge NLP techniques. Currently, Karthik serves as Vice President and Head of Data Science & AI, where he built a 35+ member team from the ground up, focusing on developing AI applications using ML, NLP and LLMs. \nBeyond corporate contributions, Karthik is passionate about nurturing the next generation of data professionals. He founded ‘The Art of Data Science’ community in 2020 and has trained/mentored over 7,000 learners in B2B and B2C formats. He also serves as a guest faculty at RV College of Engineering and IIM Lucknow and is a frequent keynote speaker, having delivered talks at the Machine Learning Summit, Generative AI Conferences, CDO Vision2024 BLR and as a TEDx Speaker on ‘Reimagining EdTech’ with AI. In September 2025, Karthik will publish his book on AI (with Vibrant Publishers – US) called ‘AI Essentials’ cementing his thought leadership in the field of AI.
Skills & Expertise
Work Experience
Head of Data Science and AI
Imarticus Learning
EdTech & AI
Heading a 30-member vertical of Data Science Coaches, Data Scientists, Program Managers, and Ops teams to drive data-backed decision-making and capability building.\r\n- Leading end-to-end orchestration of training delivery and program management across all Data Science & AI programs at Imarticus\r\n- Driving the BI and AI initiatives from development to adoption across Org\r\n- Designing and deploying AI & GenAI-powered tools to enhance learner experience (LX) and unlock measurable business outcomes across functions.
Head of Alexa AI - Knowledge Domain (ANZ region)
Amazon
Ecommerce & Tech
- Helped Alexa AI (Knowledge Domain) for ANZ region get smarter using NLP & ASR techniques\r\n- Helped reach the answer quality goal (+400bps which was achieved during Q4 2020 vs. +500bps YoY)\r\n- Helped boost the ANZ engagement metrics through various analytical experiments and A/B testing to reach wider customer base\r\n- Owner of APAC Weekly Business Review (WBR) metrics and insight generation for Alexa AI Knowledge Domain
Pricing Analytics SME
Amazon
Ecommerce & Tech
Helped prioritize & audit ~5K high leverage global pricing configurations\r\n- Enabled the detection & correction of pricing anomalies that impacted ~10% of WW Retail GVs\r\n- Automated the Synonyms Generation with the help of NLP techniques that helped in 10X reduction of manual efforts\r\n- Independently program managed & successfully launched the Retail Pricing component for UAE, Singapore, Netherlands and KSA with 0 pricing defects.\r\nAs a Pricing SME for the Pricing Analytics team,\r\n- Built the Sampling Logic Model (total number of manual auditsto catch pricing errors) & Mapping RF model for HC reduction.\r\n- Worked with Tech team to build Distributed Sample Gen [DSM] tool to reduce 30% of manual efforts during configurations.\r\n- Mentored and trained associates on problem solving using ML\r\n- Problem solving, Analytical Design thinking & Hypotheses creation\r\n- Improved existing model efficiency\r\n- Built frameworks/solutions using Machine Learning Algorithms (Random Forest, Vowpal Wabbit) and NLP/NLU techniques\r\n- Improved the existing Productivity Measurement Systems \r\n- Deployed automated solutions for HC reduction through various ML techniques
Sr. Data Scientist
Infogain
Technology & IT
Helped setup the Analytics CoE from scratch, built analytical solutions for clients across verticals\r\n- Built solutions & frameworks in Predictive Analytics, Social Media Analytics, Text Mining, Big Data Analytics & IoT using Advanced Analytics using Open-source tools & technologies, Cloud based platforms using Machine Learning Algorithms\r\n- Scoped out fuzzy business problems in depth, apply consulting best practices to deliver analytical solutions\r\n- Focused on ramping up the team from both structured & unstructured data analysis point of view\r\n- Lead the BA Lab and Strategy initiative
Lead Data Scientist
Mu Sigma
Data Science Services
Solved business problems using advanced statistical modeling techniques like ARIMA (Forecasting), Market Mix Modeling (MMM), Maximum Entropy, Clustering, etc. -Worked on multiple analytical initiatives & client deliverables in the field of structured data analysis as well as unstructured data analysis - Presented the project deliverables and demonstrations to various Fortune 100 clients - Mentored & guided the team members in various analytical projects - Showcased the wider eco-system of the organization & conducted training sessions for new joinees\r\n Solved business problems using advanced statistical models like Linear Regression, Logistic Regression, SVM, GLMNet, LDA, K-Means, etc.\r\n- Extensive Competitor Analysis in the field of Analytics (Structured) and Text-mining (Unstructured) \r\n- Demonstrated Mu Sigma's Analytical Products to the C-level clients from various Fortune 100 companies & provide internal training on products\r\n- Generated insights by driving Ad-Hoc analyses and ensuring accurate and well-timed results\r\n- Was Mu Sigma's Campus Ambassador for 2011-12 and was also responsible for campus branding at RV College of Engineering\r\n- Part of the Mu Sigma Hiring team during 2013 & 2014
