Senior NLP/Machine Learning Developer

• Mar 2021 - Present

Machine Learning Engineer

• May 2020 - Dec 2020

Data Scientist/Machine Learning Engineer

• Nov 2018 - May 2020

• Lead team of developers on R&D projects to develop a centralized machine learning pipeline for finding mining drill targets using geospatial data, resulting in improved accuracy and faster project turnaround • Architected, trained and deployed a novel deep learning solution for drill core image segmentation with 94% accuracy• Created NLP models using Transformers and LSTMs to accurately predict underlying sentiment of company news releases and social media, leading to alpha generating trading strategies• Designed, tested, and implemented algorithmic trading strategies using reinforcement learning algorithms (PPO, DQN, SAC), improving returns over traditional buy and hold strategies on various mining ETFs across both bull and bear markets

Graduate Researcher

• May 2018 - Apr 2019

• Conducted research analyzing the effects of machine learning calibrated polygenic risk scores compared to traditional statistical methods• Introduced a novel way to perform polygenic risk score calibration using neural networks resulting in improved explained variance for predicting certain polygenic traits • Conducted research analyzing the effects of machine learning calibrated polygenic risk scores compared to traditional statistical methods• Introduced a novel way to perform polygenic risk score calibration using neural networks resulting in improved explained variance for predicting certain polygenic traits

Undergraduate Researcher

• Sep 2016 - Dec 2016

• Collected data on asset allocation of top Canadian pension funds, as well as various global pensions to evaluate the importance of alternative asset classes relative to a fund’s performance• Conducted in-depth research into investment strategies of Canadian pensions to determine the best way to invest in alternative assets with respect to a fund’s assets under management• Created an investment mandate proposal alongside a report summarizing the most effective investment strategies, later presented to the Investment Management Corporation of Ontario

Business Intelligence Analyst

• Sep 2016 - Dec 2016

• Developed and implemented machine learning models in Python to forecast the number of working hours required for projects, improving pricing estimates for clients• Used data mining, statistical modelling, and data visualization techniques to create analytical reports for the management team • Developed and implemented machine learning models in Python to forecast the number of working hours required for projects, improving pricing estimates for clients• Used data mining, statistical modelling, and data visualization techniques to create analytical reports for the management team

Growth Specialist

• Jan 2016 - Apr 2016

• Designed and conducted research, A/B testing, and statistical analysis to develop growth strategies resulting in an increase of recurring user engagement levels by over 4%• Created predictive models to forecast user acquisition and engagement levels for 2016 • Designed and conducted research, A/B testing, and statistical analysis to develop growth strategies resulting in an increase of recurring user engagement levels by over 4%• Created predictive models to forecast user acquisition and engagement levels for 2016

Financial Analyst- Corporate Resource Planning and Analysis Unit

• Jan 2015 - May 2015

• Created financial model in excel to forecast future expenses. The model was then used in preparing the budget allocation of the ministry for upcoming fiscal years• Used quantitative and qualitative analysis to assess various business cases in order to evaluate potential future investment opportunities aimed at imporving the postsecondary education and employment training support sectors• Worked with team in creating and presenting a strategic plan aimed at reducing ministry budget deficit gap in future years, as well as bringing more value to students and young workers. The plan was used in creating the 2015 Ontario Budget

Data Analyst

• Jan 2014 - May 2014

• Maintained internal master database and performed daily system checks to verify data integrity• Supported team in various key projects by collecting data and developing analytical reports• Assisted in locating opportunities for improvement in the automated data collection process • Advised management in the revenue and taxation stream overhaul on sales of products and services resulting in savings of 3% in tax expenses • Maintained internal master database and performed daily system checks to verify data integrity• Supported team in various key projects by collecting data and developing analytical reports• Assisted in locating opportunities for improvement in the automated data collection process • Advised management in the revenue and taxation stream overhaul on sales of products and services resulting in savings of 3% in tax expenses