Work Experience
Launched Disney+ on Optik, surpassing peak monthly targets of 5,000 customer acquisitions in the first week.
Led a team of 150 professionals across 10 cross-functional teams to develop data-driven product roadmaps including Software Engineering, UX/UI, Marketing, IT Support, etc.
Improved Play Store ratings by 2.1 points by leading the end-to-end rebuilding of the TV offering used by 1,500,000 users. This included the Android, Android TV and web apps, using data analysis to understand markets and competition and build user requirements, prioritize features, build product roadmaps and drive product strategy.
Launched new products and features by gaining monthly project approvals in delivering technical presentations to senior leadership and other stakeholders using business plans and operational metrics with actionable insights.
Conducted data analysis of 5,000+ user feedback data points using Excel to identify customers’ unmet needs and market opportunities, iterate on product performance, drive product OKRs and build product roadmaps for product releases.
Secured project funding and approvals monthly by presenting data-driven business cases using data visualization to directors and VPs through the Governance Process.
Created quarterly budget forecasts and allocations, including vendor contracts and internal costs.
Facilitated daily agile stand-ups, biweekly sprint planning, backlog management, and retrospectives for cross-regional teams.
Managed end-to-end case analysis and documentation for Immigration Appeal Division cases, applying independent problem-solving and time management to ensure accurate, timely decisions aligned with legal and procedural standards.
Acted as a liaison between all parties involved in making an IAD decision, using strong customer service skills.
Coordinated and managed proceedings across many locations and time zones.
Reviewed case requirements and determined the appropriate course of action based on case information.
Led cross-functional coordination for immigration hearings by resolving scheduling and operational issues for 60 interpreters weekly, ensuring seamless service delivery under tight deadlines and dynamic conditions.
Optimized interpreter onboarding and contract management processes, recruiting 50 qualified interpreters and overseeing 40+ monthly contract and security renewals, resulting in improved service availability and operational continuity.
Acted as supervisor of Interpreters Unit during absences ensuring a cohesive environment.
Analyzed federal reports and reported findings and recommendations to the supervisor.
Organized and led quarterly orientation workshops to prepare new interpreters.
Led cross-functional collaboration with the marketing team and an external video vendor to launch a smooth enterprise system rollout, applying change management strategies to ensure executive buy-in and a seamless adoption experience.
Enabled executive decision-making for a high-impact strategic initiative by analyzing workforce data from 500,000 global employees, delivering insights through advanced Excel models under strict confidentiality.
Boosted adoption and reduced onboarding friction by creating tailored training resources for end-users of a new compensation platform and SAP interface, aligning tools with user needs to improve engagement and efficiency.
Education
MS Business Analytics - Santa Clara University
Sep 2024 - December 2025
Courses: Machine Learning with Python, Data Science with Python, Database Management Systems with SQL, Tableau.
BComm Business Technology Management
Sep 2013 - May 2018
Courses: Database Technology, Information Systems Analysis & Design, Quantitative Decision Making, Statistics in Business.
Projects
Predictive Modeling (Machine Learning)
Predicting Data Scientist Job Change using Machine Learning Classifiers and Python
Cisco Practicum: Operational Analytics
Analyzed Cisco’s RMA dataset using Python and Tableau to uncover multi-million dollar cost-savings
Exploratory Data Analysis
Spotify’s Most Streamed Songs (2023): Correlation Analysis using Python and Pandas
Skills
Data Science
Python, SQL, R, Excel, Predictive Modeling (Machine Learning), Exploratory Data Analysis, Tableau, XML
Agile Scrum Leadership
Jira, Confluence, Trello, Slack, Monday.com, Sprint Planning, Retrospectives
Product Management
Governance compliance, product roadmap creation, OKR management, data analysis, data visualization