Dr. Deepshi Garg

Dedicated and passionate academic professional with 9 months of experience in the field of Finance and analytics. Adept in developing and delivering engaging, fostering critical thinking, and mentoring students to achieve their full potential. Proven track of 3 Scopus-indexed research papers in esteemed journals and conferences. Committed to promoting inclusivity and diversity in the classroom. Eager to join as an Assistant Professor, bringing a blend of research excellence and pedagogical innovation to inspire the next generation of scholars.

1) Behavioral Finance (Coursera).

2) Text Mining, Scrapping, and Sentiment analysis with R (UDEMY).

3) Behavioral and Personal Finance (NPTEL)

Articles Published:

1. Garg, D., & Tiwari, P. (2021). Impact of social media sentiments in stock market predictions: A bibliometric analysis. Business Information Review, 38(4), 170-182. [Scopus Indexed]

2. Garg, D., Tiwari, P., & Jain, V. K. (2023). Does Social Media Sentiments Affect Investment Decisions? A Moderated Mediation Analysis of the Relationship among Social Media Sentiments, trust, and Investment Decision. Global Business and Economic review. [Scopus Indexed]

3. Garg, D., Pandey, R.K., Tiwari, P. (2023) PSO-tuned support vector classifier based Nifty50 index movement prediction using market positions and sentiment scores. IEEE Xplore (14th international conference on Computing Communication and Networking Technologies, 2023). [Scopus Indexed] 

Articles Communicated:

1. Garg, D., & Tiwari, P., Exploring Security Concerns of social media for Stock Analysis Leading to Investors. [Scopus Indexed]

2. Garg, D., Pandey, R.K., Tiwari, P., Deep learning paradigm-based Nifty50 returns prediction using market positions and social media sentiments. [Scopus Indexed]