Doctor of Philosophy (PhD) in Commerce

Christ University, Bangalore | June 2020 – September 2025

• Thesis: Advances on Stock Price Prediction Using Machine Learning

Post Graduate Diploma in Computer Applications

Indira Gandhi National Open University | 2017–2018

• Focused on C programming, systems analysis, web design
• Learned computer organisation, database management, Java programming

Masters of Commerce – Finance

Chaudhary Charan Singh University, Meerut | 2015–2017

• Studied managerial economics, statistical analysis
• Focus on security analysis, portfolio & financial management

Assistant Professor

Christ University | (May 2025 – Present)

Teaching: Predictive Analytics, Financial Forecasting, and Applied Machine Learning,Developed automated Excel assignment checker and reproducible grading pipelines,Supervised student research projects that transitioned to shared GitHub repos and evaluation pipelines,Led efforts to productionize experiment pipelines and reproducible notebooks for reproducible evaluation

Teaching Assistant

Christ University | (May 2022 – Dec 2024)

Courses handled: Computer Applications in Business, Excel, E-commerce,Guided practical data analysis projects

Financial Variable Generation

Generate financial ratios and derived fundamental-analysis variables from extracted financial statement data.

BMMA: Multimodal AutoML

Multimodal AutoML framework that orchestrates modality adapters, search, and robust evaluation for tabular, time-series, text, and image data.

Hybrid Feature Selection & Importance

Toolkit for hybrid subset selection and importance ranking for explainable ML across high-dimensional datasets.

Financial Variable Generation

Automated generation of financial indicators, corporate-event-aware features, and backtest-ready time-series feature pipelines.

LitSynth: Literature Synthesis / Research Management System

RAG + agentic flows and citation-graph intelligence for literature triage and automated synthesis of systematic reviews. Also maintained as a research management system for provenance-enabled workflows.

Resume and Portfolio Website

Generator for rich resume content and portfolio pages with exportable PDF/HTML resume focused on applied-scientist roles.

InstantGrade: Automated Evaluator

Automated evaluation system for notebooks and Excel assignments with rubric-driven feedback generation.

JupyterBook + JupyterLite Template (v2)

Template combining JupyterBook with JupyterLite for interactive educational books with CI-ready builds and launchers.

Stock Market Prediction Techniques Using Artificial Intelligence: A Systematic Review

Chandravesh Chaudhari, Geetanjali Purswani | Congress on Intelligent Systems, Springer Nature Singapore | 2022

This paper systematically reviews the literature related to stock price prediction systems...

Hybrid Subset Feature Selection And Importance Framework

Chandravesh Chaudhari, Geetanjali Purswani | 2023 IEEE International Conference on Contemporary Computing and Communications (InC4), Bangalore, India, 2023 | 2023

Feature selection algorithms are used in high-dimensional data to remove noise...

Programming for Machine Learning and Business

This interactive book is designed to help learners, researchers, and professionals bridge the gap between Python programming, machine learning fundamentals, and real-world business applications.

Machine Learning for Business

Machine Learning for Business is an interactive and practical learning hub that connects business strategy with modern machine learning techniques.