What I wish I knew before becoming a data scientist
Posit::conf(2023)
This talk shares my personal journey as a Data Scientist and the key lessons learned along the way. I’ll emphasize the importance of finding a positive community of like minded-allies, persevering through setbacks as success is not linear, and exploration by embracing the broad nature of the Data Science field. By sharing my experiences and acknowledging the challenges I've faced attendees will gain a fresh perspective on what it takes to succeed in a Data Science career and inspire them to pursue their passions in the field.
This talk shares my personal journey as a Data Scientist and the key lessons learned along the way. I’ll emphasize the importance of finding a positive community of like minded-allies, persevering through setbacks as success is not linear, and exploration by embracing the broad nature of the Data Science field. By sharing my experiences and acknowledging the challenges I've faced attendees will gain a fresh perspective on what it takes to succeed in a Data Science career and inspire them to pursue their passions in the field.
The power of data science: building a better future
Wonder Women Tech Immersive Tech Summit (2023)
This talk discusses the power of data science to create a better future for humanity. I emphasize the potential of data science to tackle real-world problems that face society, such as those identified by the United Nations' 17 sustainable development goals. I highlight the importance of having a practical application in mind, as well as allies, to create real-world impacts. I share an example of using data science methods in mental health care and inspire the audience to use data science for social impact and humanitarian aid.
This talk discusses the power of data science to create a better future for humanity. I emphasize the potential of data science to tackle real-world problems that face society, such as those identified by the United Nations' 17 sustainable development goals. I highlight the importance of having a practical application in mind, as well as allies, to create real-world impacts. I share an example of using data science methods in mental health care and inspire the audience to use data science for social impact and humanitarian aid.
Data science x mental health workshop
Toronto Womxn in Data Science Conference (2023)
This talk aimed to provide a comprehensive understanding of the role of data science in mental health and how it can be used to improve prevention, diagnosis, and treatment of mental illness. Attendees had the opportunity to participate in a hands-on experience by choosing the algorithm and participating in scenario-based discussions. Overall, the talk aimed to deepen attendees' knowledge of the field and its challenges + opportunities.
This talk aimed to provide a comprehensive understanding of the role of data science in mental health and how it can be used to improve prevention, diagnosis, and treatment of mental illness. Attendees had the opportunity to participate in a hands-on experience by choosing the algorithm and participating in scenario-based discussions. Overall, the talk aimed to deepen attendees' knowledge of the field and its challenges + opportunities.
Tackling mental health using data
Digital Analytics Association - Women in Analytics Quarterly Meeting (2023)
This talk explores the intersection of data science and mental health with the aim of reducing individual suffering and societal burdens posed by mental illness. I discuss the availability of mental health data and how it can be used to gain insights and build predictive models. The Collaborative Psychiatric Epidemiology Surveys (CPES) is highlighted as a particularly useful dataset. I emphasize the importance of deployment for effective use of such data and present potential avenues for implementation, including clinical tools, commercial products, and government initiatives.
This talk explores the intersection of data science and mental health with the aim of reducing individual suffering and societal burdens posed by mental illness. I discuss the availability of mental health data and how it can be used to gain insights and build predictive models. The Collaborative Psychiatric Epidemiology Surveys (CPES) is highlighted as a particularly useful dataset. I emphasize the importance of deployment for effective use of such data and present potential avenues for implementation, including clinical tools, commercial products, and government initiatives.
data science Expert & alumni panelist
BrainStation Intro Day (2022)
I shared my personal experience of how I got my first job in tech after attending BrainStation's bootcamp. I talked about how the program helped me gain practical skills and build a strong foundation in data science.
I shared my personal experience of how I got my first job in tech after attending BrainStation's bootcamp. I talked about how the program helped me gain practical skills and build a strong foundation in data science.
data visualization for effective communication workshop
UBC Faculty of Pharmaceutical Sciences (2022)
This workshop covered the importance of visualizing data to effectively convey information to an intended audience which included an introduction to data visualization and why it is important for effective communication, an overview of different types of data visualizations and the tools used to create them, best practices for creating effective data visualizations, real-world examples of data visualization in action, and the influence of data storytelling. Participants gained a deeper understanding of how to create compelling visualizations that effectively communicate data-driven insights.
This workshop covered the importance of visualizing data to effectively convey information to an intended audience which included an introduction to data visualization and why it is important for effective communication, an overview of different types of data visualizations and the tools used to create them, best practices for creating effective data visualizations, real-world examples of data visualization in action, and the influence of data storytelling. Participants gained a deeper understanding of how to create compelling visualizations that effectively communicate data-driven insights.
Business communication & getting feedback panelist
DataCan Level Up Series (2022)
I discussed how to effectively communicate within the tech industry and handle feedback by exploring practical strategies.
I discussed how to effectively communicate within the tech industry and handle feedback by exploring practical strategies.
Career panelist
Toronto Womxn in Data Science Conference (2022)
I shared my journey and experience as a young woman in data science during the first year of my career. I provided insights into the challenges and opportunities that come with working in the industry, and offered valuable career advice to aspiring data science professionals
I shared my journey and experience as a young woman in data science during the first year of my career. I provided insights into the challenges and opportunities that come with working in the industry, and offered valuable career advice to aspiring data science professionals
Prediction & analysis of psychiatric medication effectiveness
Population Health Research Institute Rounds (2021)
In this talk I shared my capstone project on psychiatric medication effectiveness and patient prognosis prediction. I aimed to identify the factors that contribute to medication ineffectiveness using psychiatric data. I provided a detailed analysis of my findings, including insights and a proposed clinical application. Moreover, I discussed the considerations associated with my work, highlighting the potential benefits and limitations of the approach demonstrating the potential of using psychiatric data to improve patient outcomes and inform clinical decision-making.
In this talk I shared my capstone project on psychiatric medication effectiveness and patient prognosis prediction. I aimed to identify the factors that contribute to medication ineffectiveness using psychiatric data. I provided a detailed analysis of my findings, including insights and a proposed clinical application. Moreover, I discussed the considerations associated with my work, highlighting the potential benefits and limitations of the approach demonstrating the potential of using psychiatric data to improve patient outcomes and inform clinical decision-making.
