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B.Tech (Hons) (N.I.T. Kurukshetra)


Fellow (Ph.D.) (I.I.M. Lucknow)

Ritu Yadav

Associate Professor

Email ritu.yadav@jgu.edu.in
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ORCID ID 0000-0002-8816-643X
Key Expertise Data Analytics, Machine Learning, Deep Learning and Generative AI, Text Analytics, Sentiment Analysis and Natural Language Processing, Network Analytics and Social Media Analytics, Business Process Management, Digital Transformations

B.Tech (Hons) (N.I.T. Kurukshetra)


Fellow (Ph.D.) (I.I.M. Lucknow)


Biography

Dr. Ritu Yadav is an academic with over 12 years of experience in academia, research, and industry. She holds a PhD (Fellowship) in Information Technology & Systems from the Indian Institute of Management, Lucknow. Dr. Yadav completed her B.Tech (Hons.) in Electronics & Communication Engineering from the National Institute of Technology, Kurukshetra. She has served as an Assistant Professor at IIM Rohtak for four years, where she developed new technology-oriented courses and managed key programs. Her research interests include Data Analytics, Machine Learning, and Digital Transformations, with publications in reputed journals. Dr. Yadav's professional journey also includes a Post-Doctoral Fellowship at ISB Mohali, visiting faculty at IIM Lucknow and leadership roles in the industry, reflecting her expertise in analytics and technology management.

Predictive Analytics

Deep Learning

Data Analytics Ethics

Data Visualization with Tableau

Introduction to Spreadsheets

Database Management Systems

Awarded Best Paper at the 31st International Business Research Conference in Canada.

Secured second position in Regional Mathematics Olympiad’99 (RMO), North India – conducted by National Board of Higher Mathematics (Govt. of India).

NCFM certified in “Commodities Market Module”. Year 2008.

 

Yadav, R., Kumar, A., & Vinay Kumar, A. (2019). "Event based Sentiment Analysis on Futures Trading." Journal of Prediction Markets (ABDC-B), 13(1), 57-80.

Yadav, R., Kumar, A., & Vinay Kumar, A. (2019). "News based Supervised Sentiment Analysis for Prediction of Futures Buying Behaviour." IIMB Management Review (Elsevier, ABDC-B), 31(2), 157-166.

Kumar, A. V., Kumar, A., & Yadav, R. (2017). "Stock Price Jumps and News Sentiment: A Case of Investor Overreaction." Journal of Prediction Markets (ABDC-B), 11(2), 20-37.

Kumar, A. V., Kumar, A., & Yadav, R. (2015). "Stock Price Jumps and News Sentiment: How related are they?" Proceedings of the 31st International Business Research Conference, Canada, July 2015.

Yadav, R., Kumar, A., & Vinay Kumar, A. (2015). "News Based Supervised Sentiment Analysis for Prediction." 8th ISDSI International Conference, Pune, Jan 2015.

Yadav, R., Kumar, A., & Vinay Kumar, A. (2013). "Supervised Sentiment Analysis: Engineering a Robust Automatic Training Dataset." Proceedings of the International Conference on Business Analytics and Intelligence, IIM Bangalore, December 2013.

Yadav, R., Kumar, A., Vinay Kumar, A., & Kumar, P. (2012). "Conceptualization of Sentence Paraphrase Recognition with Semantic Role Labels." Proceedings of the Eighth International Conference on Data Mining, USA, July 2012.

Yadav, R., Kumar, A., & Vinay Kumar, A. "Sentiment Analysis of Stock Markets Using Machine Learning Based Supervised Methods: A Review." Working Paper Series: 2012-13/41, IIM Lucknow.

Yadav, R., Kumar, A., & Vinay Kumar, A. "Stock Market Sentiment Analysis: A Review of Dictionary Based Unsupervised Methods." Working Paper Series: 2012-13/40, IIM Lucknow.

Yadav, R., & Kumar, A. "GA-Based Game Theoretic Analysis of Continuous Double Auction Markets." Working Paper Series: 2012-13/39, IIM Lucknow.

Yadav, R., & Kumar, A. (2009). "Game Theoretic Analysis of Continuous Double Auction using Genetic Algorithm." Seventh AIMS International Conference on Management, IIM Bangalore, December 2009.
Email ritu.yadav@jgu.edu.in
ORCID ID 0000-0002-8816-643X
Key Expertise Data Analytics, Machine Learning, Deep Learning and Generative AI, Text Analytics, Sentiment Analysis and Natural Language Processing, Network Analytics and Social Media Analytics, Business Process Management, Digital Transformations
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