Aman Kumar Email & Phone Number

Canada

Developing software to extract tabular data from PDF files using table detection, structure recognition, and OCR.

Waterloo, Ontario, Canada

Developed machine learning and deep learning models for gesture recognition to enable social robots to communicate non-verbally

Greater Toronto Area, Canada

▪ Increased the ROI by >20% by optimizing the process of project selection, using dynamic programming.▪ Saved countless hours of manual work by automating 3+ complex, laborious internal processes.▪ Communicated effectively with stakeholders to understand their requirements and worked on the Contract Approval Power BI dashboard from scratch.▪ Developed & integrated python scripts in Power BI to perform complex data transformations.

New Delhi Area, India

▪ Led critical developments for the company’s proprietary AI-enabled cloud platform (PollyTM): Single-handedly integrated an RStudio-like computing platform.▪ Deployed and productionlized 10+ analytics platforms using Docker, Kubernetes and CircleCI.▪ Developed features for PollyTM for genetic data analysis using JavaScript and Node.js▪ Created an ecosystem to gather cross-platform user analytics for PollyTM.

Mumbai, Maharashtra, India

▪ Devised a novel methodology to estimate learners' perceived difficulty using EEG signals for adaptive, intelligent tutoring systems, in order to assess and monitor the mental states of learners to provide a personalized experience. Achieved an accuracy of 75.24% with the Random Forest model.▪ Published and presented a research paper as the first author at the 27th International Conference on Computers in Education, Taiwan.▪ Worked with psychophysiological sensors like electroencephalograph (EEG), galvanic skin response (GSR), and eye-tracking to infer complex interplay of affect, cognition, and metacognition in a teaching-learning environment in order to assess and monitor the mental states of learners to provide a personalized experience.▪ Conducted research on the development of robust EEG-based Cognition-Affective Metrics to measure cognition and affect, with the goal to produce neuroscaffolds for technology enabled learning platforms. ▪ Investigated various metrics of learner’s cognitive load by conducting studies to collect EEG data, analyzed the EEG signals to investigate the potential of each metric under study, and searched for other more robust EEG-based metrics.

Master Of Engineering - Meng, Electrical And Computer Engineering, 4.00

Courses taken - ECE 657A: Data Knowledge Modelling & Analysis CS 679: Neural Networks BE 602: Data Analysis and Management SYDE 671.

Bachelor Of Engineering - Be, Computer Science (Specialization In Machine Learning), Cgpa 9.39/10

Relevant courses - Mathematics: Linear Algebra, Multivariate Calculus, Optimization Techniques Computer Science: Computer Programming I &.

Master Of Business Administration - Mba, Business Analytics, Cgpa 8.97

Courses - Marketing Analytics, Financial Econometrics, Social Media Analytics, Big Data for Managers, Probability and Statistics, Business.