Badges
Certifications
Work Experience
Research Intern
University Health Network•  January 2023 - Present•  Toronto
Utilized research tools (eg: Elicit,etc) to conduct research on academic papers on the designated research topic. Orchestrated recruitment efforts to enlist suitable candidates to trial the Bot designed for a wide-ranging audience afflicted with terminal illness. Executed a comparative analysis of pre- and post-survey outcomes utilizing non-parametric testing methodologies
Data Science
Agritecture•  January 2023 - March 2023
University Experiential Learning (XN) Project - Data Scientist - Led end to end ML pipelines right from data aggregation, extraction, EDA and data modeling. - Calculated and interpreted ML KPIs including the following; Accuracy: Ratio of correct predictions among the total number of cases evaluated. Precision: The ratio of true positives to the sum of true and false positives Recall: Find all relevant cases within a dataset. F1 Score: Harmonic mean for comparing two models' performance. AUC-ROC: Indicating the model's ability to distinguish between classes. Co link: https://www.agritecture.com/ask
Data Science
Danfoss IXA Sensor Technologies•  May 2022 - August 2022
University Experiantial Learning (XN) Project - Conducted data handling, exploratory data analysis (EDA,, sales and predictive modeling • Used Root Mean Square Error (RMSE) as the metric for model accuracy • Constructed end to end MLModels to predict sales of Danfoss in EMEA
Education
Northeastern University, Boston