Rishabh Kalai Email & Phone Number

Fredericton, New Brunswick, Canada

Fredericton, New Brunswick, Canada

- Assumed responsibility for the advisory tool project in Academic Advising for Engineering, which lacked documentation and had an unorganized codebase. Methodically restructured, cleaned, and documented the codebase, resulting in a 40% improvement in processing efficiency, enhanced system optimization, and secured maintainability for future iterations.- Independently introduced a statistical module for academic advisors, enabling access to descriptive statistics of individual students, cohorts, and engineering programs for precise academic guidance.- Crafted and implemented visualization features, including bell curves and additional statistical graphics, to offer a thorough analysis of student population distributions, enhancing decision-making processes.

Bengaluru, Karnataka, India

- Led the development of the 'Test & Learn' (A/B Testing) Module in WIZ, a data-driven marketing analytical suite. Implemented the module from the ground up in Python, automating data pre-processing, statistical exploratory analysis, and business insight mining.- Developed a Propensity Score Matching Algorithm in Python, enabling one-to-one and many-to-one matching of test & control subjects using a Logistic Regression Model, achieving 90% accuracy. - Implemented a layered Time-Alignment feature to align periodically differing time-series data from the client, thereby increasing accuracy and coherence in temporal analyses.- Implemented Analysis of Covariance (ANCOVA) to refine the evaluation of marketing impacts, facilitating a more nuanced understanding of how strategies influence various audience groups.

Bengaluru, Karnataka, India

- Developed multiple regression models for a healthcare case study that can be used to accurately predict the expected life expectancy(age) based on medical data pertaining to individuals as well as macro-factors in regard to geographical features inherent to the patient groups- Performed a comparative analysis study of the different classification as well as regression models that can be used to predict life expectancy in order to test the accuracy and other model-specific established KPIs(Key Performance Indicator) of each such model to make an informed model selection

Master Of Science - Ms, Computer Science, 4.0

Bachelor Of Technology - Btech, Computer Science

Activities and Societies: CGPA: 8.35/10.0 | Member, Computer Society of India; Member, English Club