• Partner with stakeholders (e.g., product, engineering, Finance) on user growth to build and help PayPal improve acquisition, engagement, and retention
• Define KPIs to measure product and initiative performances.
• Conduct rigorous exploratory data analysis, create executive-facing automated dashboards and collaborate on building business cases that drive decision-making and product roadmap prioritization
• Synthesize large volumes of data with attention to granular details and present insights and recommendations to stakeholders
• Define and cultivate best practices in analytics instrumentation and experimentation
- Applying extensive statistical analysis, data visualization tools and Natural Language Understanding models to gain deep insights into the future customers' IT ticket data, and uncover challenges and opportunities in their IT support systems.
- Working closely with Sales team and Customer Success team to prepare and drive the business meetings.
· Partnering closely with Product and Engineering teams to identify current design flaws, assess data quality and propose a new approach in support of business growth.
· Utilized web scraping techniques to extract public merchant information for data enrichment.
· Improving the recurring model to handle complex subscriptions and creating a Python package.
· Processing large dataset to Elasticsearch and writing queries to optimize the search process.
· Generating product insights by visualizing data and creating interactive dashboards.
• Created a statistical model to detect recurring transactions and predict billing frequency.
• Increased usability and accessibility of transactional data by creating dynamic dashboards to
visualize change in real time.
• Worked with product manager to come up with product ideas about recurring detection.
• Assisted over 60 students with mathematical proofs and prepared problem sessions for exams.
• Communicated effectively with instructors by providing weekly feedback on students’ progress with problem sets.
• Developed an optimization model to minimize ambiguity in images displayed by interferometry.
• Implemented network analysis to simulate large sets of pixel data to test the optimization model.
• Collaborated with team of three colleagues on writing code in MATLAB and reporting research progress every week.