Shlok Pratap Chauhan contributes to QSentia's software development and product execution across the public website, dashboard experience, customer workflows, and operational tooling.
His work combines machine learning, data science, and software engineering, with experience across Python, C++, C#, SQL, HTML, CSS, .NET, MS SQL Server, Git, Scikit-learn, XGBoost, Pandas, and NumPy.
Shlok's research work includes a student dropout prediction project using machine learning on large-scale behavioural learning analytics data, with Random Forest and XGBoost approaches presented at the Ignite Pune 2025 IEEE Conference.
At QSentia, Shlok focuses on making the platform experience clearer for investors, customers, and internal operators as the company expands its agent access, dashboard, and API workflow surfaces.