Resource Person-  Dr Shalini Sahni and Ms. Abhinaya

About the Resource Person

Dr Sahni has extensive experience in using and teaching LR methods and various data analysis softwares and has conducted more than 80+ FDP's and trained more than 5000 scholars in last 5 years. With a wealth of experience in leveraging LR methodologies and qualitative and quantitative research , she has published papers in International Journal of Consumer Services (A),  Tourism Recreation Research (A), Journal of Consumer Affairs (A), Journal of Economic Surveys (A) , 2 in Acta psychologica (A) , Benchmarking (B), and many more. She is well versed with various research tools, such as MAXQDA, NVIVO, AMOS, SPSS, Smart PLS, Bibexcel, Gephi, Vosviewer etc.

Ms. Abinaya Nair  works with large language models, transformers, and advanced NLP techniques, as well as exploring emerging fields like generative AI and vector databases. She has been recognized as a Top Startup Entrepreneur of 2024 by Simsy.AI - Startups & Innovation Studio and Simsy Ventures. She has personally mentored more than 70 individuals, guiding them in building customized AI solutions tailored to their specific needs and goals. She has successfully conducted workshop at the Indian Institute of Science (IISc), Bangalore, ⁠ MIT Mysore, Walkaroo International Pvt. Ltd and international sessions in association with CodingZen

Schedule and the Content (for 4 days)

Day 1: Understanding Gen AI and Prompt engineering (15 Jan)

• Overview of AI and addressing hallucinations
• Fact checking workflows
• The CCCTS framework for effective prompts
• Iterative refinement (chain of thoughts)
• Few-Shot prompting
• 
  Day 2: AI -Driven Digital workflows, automation and professional intelligence (16 Jan)
• 
  

• Explore GenAI’s role in digital strategies, and high volume content creation
• Mastering AI automation with Zapier (Connect AI tools like chatgpt, claude, gemini) with everyday platforms (Google forms, sheets, docs, gmail)
• Automated workflows- Anatomy of AI Zap
• Data Scrapping - AI Scrapers
• Tools for business and financial intelligence and investment
• Human-in-the-Loop (HITL) workflows
• 
  
• Day 3:  Literature Review and extraction of data with AI (19 Jan)
• 
  
• Systematic Literature Review and Bibliometrics using AI tools, Extraction of data using AI, Building frameworks
  
  Day 4: AI tools and data analysis (20 Jan)
• 
  

• Identifying Research Gaps
• Developing Theoretical Model and hypothesis development
• Developing Survey Form using AI
• Qualitative & Quantitative Data Analysis
•