Dr. P. V. Chandrika

teaching & research

Business Statistics, Python, Visual Analytics using Power BI/Tableau, Machine Learning Algorithms – supervised and unsupervised Learning, Financial Analytics, Fraud Detection and Risk Analytics

Subject Expert:

• Statistical Analysis
• Machine Learning
• Artificial Intelligence

Current Research:

Stock Market Prediction using Quantum Machine Learning Algorithms

consulting

Project Delivered:

• Name of the Client: Procter & Gamble

Predictive Attrition Analytics (2020).

• Name of the Client: IOCL

HR Align- Right Employee for Right Job Profile through Analytics (2021)

publications

Publication Released:

• Machine learning-based cloud security system with multi authentication for data classification in Financial Sectors (2025) published in the journal of “International Journal of System Assurance Engineering and Management”, (2023) Q2, Scopus Indexed
• An Automatic Threshold Selection using ALO for Healthcare Duplicate Record Detection with Reciprocal Neuro-Fuzzy Inference System, Computers, Materials and Continua, Q1, A*, SCI and Scopus Indexed, Impact Factor 3.86, Tech Science Press.
• Predicting Stock Market Movements using ANN (2021), published in the journal “Universal Journal of Accounting and Finance”, Scopus Indexed.
• Published paper titled “Stock Trend of Stock Market Index Using Sliding Window Based on Long Short-Term Memory Deep Network”, in Journal of Management Information and Decision Science, with h-index 6, 2021.
• Published a paper entitled “Long Short-Term Memory Deep Network and Machine Learning Approach in one-day ahead Stock Market Prediction” in Journal of Critical Reviews, 2020.
• Published a paper on “Determining Hidden States in selected Stock Indices using Hidden Markov Models” in Solid State Technology, 2020.

Book Chapters Published in Scopus:

• Authored a book chapter “Fundamentals of Deep Learning – Deep Learning Approaches of Early Diagnosis of Neurodegenerative Diseases”, IGI Global Publishers, Scopus and Web of Science.
• Authored two Chapters in the book titled “Marketing Analytics, A Machine Learning Approach” CRC Press, Taylor & Francis Group.

Publications in International Conference:

• Presented and Published paper titled “Application of Facial Recognition and its impact in the Service Sector” (2022) in International Conference of Computing and Artificial Intelligence, IEEE 2022 (Scopus Indexed).
• Presented paper on “Hidden Markov Models of Selected Stocks” at IIM Bangalore in Sixth International Conference on Business Analytics and Intelligence 2021
• Presented and Published paper titled “Applications of Hidden Markov Models in Stock Trading” (2020) in 6th International Conference on Advanced Computing and Communication Systems Icaccs.

Resource person for FDP:

• Provided corporate training on Machine Learning, Social Media Analytics/Text Analytics, Big Data Analytics and Predictive Analytics for Executive Program in IFIM Business School, Bangalore.
• Guest Session on “Application of Python in Finance”, IIM Sirmaur, 2025
• Speaker for FDP on "Machine Learning using Python for Effective Research and Management Decision”, Amity University Noida, 2021
• Resource person for “National Level Workshop on Data Analytics, Machine Learning and Artificial Intelligence - 2019” at Ashoka Group of Institutions, Nasik.
• Resource Person on “National Science Day”, to deliver talk on Data Science in a webinar organized by ACBCS, Nasik 2022.
• Resource Person on “Machine Learning using Python”, for Faculty at RV College, Bangalore, 2022.
• Resource for Faculty Development Program on “Application of Machine Learning using Python in the areas of Management and Research”, Amity University, Jharkund, (12 Hours), 2021
• Expert talk on “Data Mining Techniques” at Ashoka School of Computer and Business Studies, Nasik, 2021.
• Workshop on “Data Visualization using Tableau”, at ISME, Bangalore, 2021.
• Workshop on “Advanced Machine Learning using Python”, Chandigarh University, Mohali (40 Hours), 2021
• Training for Government Officials “On Application of AI”, Centre for Development of Advanced Computing (CDAC), Ministry of Electronics and Information Technology. (40 hours), 2021.
• Workshop on “Descriptive Analytics and Predictive Analytics”, Chandigarh University (65 hours), (dated: 07/04/2021 to 22/04/2021)
• Workshop on “Data Visualization and Business Intelligence Reporting using Tableau” at Jyoti Nivas College, Bangalore (Dated 02/04/2021 for 8 hours)
• FDP on Data Analytics, Ashoka centre for Business and Computer Studies, Nasik, 6 hours in the month of January 2019.

Reviewer for Journal:

• Reviewer for “International Conference in on Sustainability, Innovation & Technology (ICSIT 2025)” organized by Chitkara University.
• Reviewer for “International Conference in Artificial Intelligence and Machine Learning” organized by Chitkara University.

awards & honors