Mitanshu Khurana

Developed a Global Score Monitoring Tool for credit score stability using automated Python-based SQL execution with deployment across the geographies of US, UK, India, Brazil and Argentina. Achieved 43% fraud elimination using a classification model for one of the largest Telecom providers in North America.

Developed comprehensive course content and assignments encompassing data exploration, cleaning, modeling, and deployment, ensuring alignment with industry standards and practical applications. Demystified complex data concepts for learners across all levels from entry-level to CXO, by designing and adapting industry-relevant projects to engage a diverse, global audience.

Provided independent tutoring for Finance and Data Analytics courses. Courses included Agile Project Management, Data Visualization, Deep Learning, and Neural Networks.

Delivered engaging instruction in Business Analytics and Data Visualization inclusive of SQL, Power BI, Tableau, Excel. Conducted lectures on Agile Project Management, SDLC, Scrum, Kanban, and best PM industry practices.

Conceptualized, developed and implemented advanced machine learning models (fraud detection, text classification, etc.) using DistilBERT and other AI algorithms in PyTorch and Tensorflow. Significantly optimized processes and reduced false positive alerts by 23% for the AML Risk Department.

Achieved 94% accuracy in predicting days until next prescription for each compound through regression analysis. Employed XGBoost using Python for multi-label classification to predict probability of drug switching.

Conducted weekly tutorial sessions on database programming and ETL for a batch of 60 students and held office hours. Assisted in development of assignments, tests and activities to encourage peer interaction for data modelling concepts.

Served as a technology consultant for industry leaders in the financial sector, managing agile projects and ensuring successful deployment of technology solutions. Utilized Scrum and Kanban methodologies to drive efficiency.

Completed a Master of Management Analytics program at the Rotman School of Management, University of Toronto. This program focused on advanced analytical techniques and their application in business contexts.

Pursued a 5-year dual degree program, earning an MBA in Business Analytics with a minor in Finance and a B.Tech. in Computer Engineering. This comprehensive program provided a strong foundation in both business and technical aspects of data.