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Smriti Shyamal, Ph.D.

Education

Awards and Honours

Appointments

Senior Machine Learning Scientist, Expedia Group, Montreal, Canada, Nov’19-Present

  • Developing state of the art machine learning algorithms to power various aspects of highly complex business models

Machine Learning Specialist, Xanadu, Toronto, Canada, Nov’18-Jul’19

  • Designed, built, researched, and deployed commercial machine learning models within the company and in cooperation with industrial partners

  • Developed deep learning based product for finance application

  • Streamlined 2 AI projects using AWS, IBM Cloud; applying deep learning using TensorFlow and PyTorch

  • Worked in an AI team of 5 to develop new ML/AI methods and evaluate existing ML literature

Machine Learning Scientist, 1QB Information Technologies, Vancouver, Canada, Jun’18-Sep’18

  • Developed a deep learning neural network model in Python using TensorFlow for feature extraction

  • Spearheaded development and deployment of actor-critic reinforcement learning algorithms in Python

  • Programmed 2 reinforcement learning (machine learning) based models suitable for robot training

Algorithm Design Research Assistant, McMaster University, Canada, Sep’13-Apr’18

  • Developed machine learning and optimization-based online decision support tool in Python and C++

  • Introduced 3 advanced optimization algorithms for solving complex learning problems

  • Spearheaded cloud deployment of the data analysis tools for industrial members of the project

  • Achieved 60% reduction in learning time through problem reformulation in Python and C++

  • Proposed 2 novel techniques for effectively using covariance information for deep learning

  • Big Data analysis: Ontario electricity price data, Steel industry data, Carbon trading market data

  • Research Output: 5 first author high impact journal publications; 10 international conference presentations in France, Norway, Japan, US, Canada; 5 presentations in industrial conferences

  • Collaboration: ArcelorMittal, McMaster Steel Research Centre, University of Science and Technology, Beijing

Teaching Assistant, McMaster University, Canada, Sep’13-Apr’18

  • Courses taught: Optimization (1 term, 4th year UG), Process Control (3 terms, 3rd year UG)

  • Topics covered: Data analysis, predictive modeling, optimization algorithms, scientific computation

  • Guiding 60+ teams for developing predictive models, algorithms, raw data analysis, time series analysis

  • Delivered 10 lectures & explained to students how to interpret data analysis and modeling results

Data Scientist Intern, DuPont Limited, India, May’12-Jun’12

  • Devised methodologies for optimization of nonlinear systems; potential of saving $12,000 per year

  • Analyzed cloud data from 20 systems to discover system losses leading to 12% resource use reduction

  • Conducted & supervised 3 deployments in collaboration with engineers to implement 5 solutions

  • Received “Letter of recommendation” from Abhay Kumar, Dy. Unit Manager, for exceptional contributions

Senior Program Manager, IIT Bombay Department Project, Apr’12-Apr’13

  • Led a 3 tier team of 42 students to manage a department-wide project; budget of $120,000

  • Coordinated with major project stakeholders to successfully achieve 10% deployment increase

  • Executed rigorous team learning sessions and conceptualized 3 new projects and product website

  • Achieved a 10% increase in funds allocation over the previous year from university authorities

Machine Learning Intern, BASF Limited, India, Nov’11-Dec’11

  • Collected and analyzed data from 27 real world industrial processes spread across 8 provinces of India

Leadership Positions

Chief Organizer, MACC at Stats and Control Meeting, McMaster University, Mar’17-May’17

  • Led a team of 9 MACC members for participation in 2017 Stats and Control Meeting, Québec City

  • Coordinated members’ registration, abstract submission, travel, food and hotel booking arrangements

Manager, AZeotropy, India, Aug’11-Mar’12
Part of 16-member team of India’s largest Chemical Engineering Symposium (1000 participants, 150 colleges)

  • Led a 2 tier team of 10 volunteers to design and maintain the AZeotropy website which received more than 1.8 million hits and 2400 registrations India wide

  • Increased 2 fold participation by initiating BASF Industrial Visit Quiz and Cipher, an online crypt hunt

Co-ordinator, Techfest, IIT Bombay, India, Mar’10-Jan’11
Part of 5-member design team of Asia’s largest technical festival

  • Led a team of 15 volunteers to design 8 posters and maintain the Techfest website

  • Conducted Special Effects Workshop for 65 participants in IIT-B technical festival

Organizer, Mood Indigo, IIT Bombay, India, Aug’09-Jan’10
Part of 30-member events team of Asia’s largest cultural festival

  • Planned, executed and supervised a blood donation drive collaborating with a NGO Think Foundation to make a total of over 200 donations during IIT-B cultural festival

Professional Development

Professional Affiliations

Journal and Conference Review