Kasturi Dash

Interdisciplinary data science and AI professional with a background in psychology and bioinformatics, specializing in applied machine learning and analytics in healthcare and human-centred domains. Experienced in working with sensitive clinical and genomic data to build predictive models and decision-support tools, including systems that improved operational efficiency in clinical settings. Proficient in Python, SQL, and R, with a strong ability to translate complex datasets into actionable insights while accounting for real-world constraints such as data quality, bias, and ethical impact.

Technical Support Specialist - Dataworks Group (Formerly IXUP)

(2026-04)

• Supported successful launch of the BetGuard program, a province-wide responsible gaming initiative delivered in collaboration with iGaming Ontario (Ontario's regulator for the province's legal online gambling market), assisting with issue resolution and program onboarding
• Identifying recurring case trends and escalated systemic issues, helping streamline operations and strengthen compliance monitoring
• Investigating registration data and operator matching discrepancies (false positives/false negatives), supporting data quality and accurate user validation
• Partnered with technical teams using SQL- and Python-driven matching workflows to troubleshoot registration issues and improve operational accuracy
• Applied knowledge of behavioral psychology and responsible gaming principles to identify risk indicators, de-escalate sensitive interactions, and support users with appropriate guidance and resources
• Provide frontline input to enhance the internal Case Management System (CSM) and support workflows, contributing to process and efficiency improvements

Independent Data & AI Consultant - Open-Source Work & Applied Projects

(2024-06)

• Designed and deployed data analytics and machine learning projects using Python and modern data science libraries
• Built end-to-end workflows including data cleaning, modeling, visualization, and documentation for reproducibility
• Developed GitHub-hosted projects demonstrating applied predictive modeling, automation, and exploratory data analysis
• Implemented version control, structured documentation, and modular code practices to support maintainability and collaboration
• Applied statistical analysis and data storytelling techniques to translate complex results into actionable insights

Graduate Research Assistant - Duan Laboratory, Queen's University

(2023-05 - 2024-06)

• Designed and implemented machine learning models for healthcare outcome prediction to support clinical decision-making
• Analyzed large-scale clinical and biological datasets using statistical and bioinformatics methods to generate actionable insights
• Collaborated with multidisciplinary research teams to translate research and data requirements into scalable analytical solutions
• Maintained high data quality and integrity through rigorous validation, quality control, and documentation processes

Health Campaign Coordinator - Campus Wellness, University of Waterloo

(2021-01 - 2022-12)

• Led cross-functional team of 10+ volunteers in executing 8+ data-driven health awareness campaigns targeting undergraduate student community
• Designed comprehensive KPI frameworks & performance dashboards using Excel and Power BI, tracking live campaign metrics and engagement
• Achieved 20% increase in audience engagement through audience segmentation analysis and data-driven messaging
• Conducted market research to identify emerging health trends and inform strategic campaign messaging

Undergraduate Psychology Research Assistant - Neuroscience & Cognition Labs, University of Waterloo

(2020-01 - 2021-06)

• Recruited and managed 50+ research participants, ensuring ethical compliance, accurate data collection, and detailed record-keeping
• Collected, cleaned, and analyzed behavioral research data using statistical methods and exploratory data analysis (EDA)
• Produced publication-ready data visualizations and analytical summaries to support research findings
• Applied principles of human cognition and behavior to inform study design, data interpretation, and analytical reasoning

Market Research & Product Development Associate - Conrad School of Entrepreneurship & Business, University of Waterloo

(2021-01 - 2021-04)

• Developed a prototype educational app for pre-teens focused on life skills education, backed by extensive market research and user insight
• Secured $2,500 in funding through a compelling business case presentation
• Collaborated with educators and child psychologists to validate product content and ensure usability

Member Advocate (Banking & Retail) - Bond Brand Loyalty – Marketing Agency - Mississauga

(2019-05 - 2019-09)

• Analyzed customer feedback patterns from 500+ member interactions to identify service improvement opportunities and drive engagement strategies
• Maintained 95% customer satisfaction rating while resolving high-volume inquiries regarding loyalty program features and benefits
• Generated insight reports highlighting key customer sentiment trends for senior management review

MSc - Biomedical Informatics - Queen's University (2023-04 - 2024-06)

BSc - Honours Psychology, Life Sciences - University of Waterloo (2018-09 - 2023-06)