Senior Doctoral Scholar and Consultant on Technology Adoption and Analytical Solutions (IIT DELHI)

Ms. Honey Yadav

"There is only one valid definition of a business purpose – namely, to create a customer.” - Peter F. Drucker

  • Explainable AI systems

  • Consumer Analytics

  • AI Capabilities

  • Digital Transformation Strategy

Publication:
-FEDERATED LEARNING FOR COMPLAINT CLASSIFICATION: NAVIGATING NON-IID TEXTUAL DATA CHALLENGES AND ENSURING PRIVACY AND EXPLAINABILITY (2024)
-Exploring COVID-19 Vaccine Hesitancy and Behavioural Themes using Social Media Big-Data: A Text Mining Approach (2023)
-Evaluation of Barriers in the Adoption of E-Commerce Technology in SMEs: A Fuzzy DEMATEL Approach (2022)
-Analysing challenges to smart waste management for a sustainable circular economy in developing countries: a fuzzy DEMATEL study (2021)
-Mental Health Institutes Digital Competency Framework- Case Study of VIMHANS
-Bills and Melinda Gates Foundation (BMGF) Digital Platform Communication Strategy for COVID-19 Vaccine Hesitancy
-Digital Capability strategies for mobile network operators in the 5G era: Opportunity and Challenges for India.

Student Feedback from Customer Analytics Lecture

Projects:
AI in Education
Principal Conclave sponsored by Dainik Jagran, to inform several school and college principals on application of AI.
National Informatics Center Training in Advanced AI
We discussed Explainable AI concepts including Accuracy and Transparency Tradeoffs and Explainable methods for Tabular, Text and Image Data.
Development of Consumer Analytics Pack with GPT 3.5
"Customer Analytics with the cutting-edge GPT-3.5 pack! In this revolutionary suite of tools, we harness the power of OpenAI's advanced language model, GPT-3.5, to empower businesses with comprehensive insights into their customers' behavior, preferences, and needs. From efficiently classifying consumer complaints to conducting sophisticated analyses like RFM, CLV, Recommendation Engine, and Cohort Analysis, our suite opens up a realm of possibilities to understand and engage customers like never before"
Development of Social Media Analytics Pack
"Social media contains an expanded set of data or metadata that can provide useful business insights and valuable trends to policymakers, business stakeholders, and managers. This pack uses NLP, machine learning, and deep learning algorithms to extract semantic patterns and commercial implications from social media data. Social media analytics is concerned with the development and evaluation of informatics tools and frameworks for collecting, monitoring, analyzing, summarising, and visualizing social media data, which is typically driven by specific requirements from a target application."

Lecturer at IIT Delhi (CEP IITD)
- Explainable AI (Advanced AI Training)
- Digital Analytics (Certification Course in Brand Management)
- Customer Analytics (Certification Course in Digital Marketing)
- Business Analytics (Certification Course in Business Management)
- Social Media Effectiveness (Certification Course in Sales and Marketing)

Business and AI integration

"Small Steps matter in the Big Picture"
Technology and Businesses need effective integration to leverage the applied data-driven decisions; Responsible AI ensures a responsible social and business future.

• Text Mining (LLMs) • Big Data Enabled Business Transformation • Consumer Analytics • Explainable AI systems - LIME (Local Interpretable Model-Agostic Explanations)