Utilized data and Machine Learning to develop end-to-end analytics products.

• Developed a data-driven product vision and strategy aligned with business goals and customer needs, informed by market trends, user behavior, and competitor analysis.

• Created and maintained a comprehensive product roadmap driven by data analysis and aligned with the overall product strategy.

• Implemented product rituals to help teams prioritize projects, aligning with the roadmap and vision.

• Built and maintained dashboards and reports to track key performance metrics and KPIs, regularly reviewing them to assess product impact and identify areas for improvement.

Leveraged data to design and develop intelligent virtual assistants. Worked on product analytics and development of a conversational AI to create more engaging client support interactions.

• A/B testing: Improving user engagement, conversions, and product features, and reducing user churn

• Conducting research and data analysis: Understanding user needs, and performing testing for quality assurance, and performing data analyses using Python and SQL

• Monitoring product performance: Building dashboards and reports to track key performance metrics and KPIs

• Cross-functional team collaboration: Working closely with product managers, designers, and engineers to ensure data is used to inform product development decisions and improve product performance

• Communicating solutions to stakeholders: Delivering optimized solutions with an actionable roadmap to achieve the best results

Conducted web analytics and market research on Lucas College and Graduate School of Business's website, delivering key insights, analyses, and reports on customer behavior, engagement, and churn to inform strategic decision-making.

• Conducting market research and data analyses: Understanding user needs and performing market research to gain insights into the competitive landscape

• Conducting user testing and feedback sessions to gather insights and improve user experience

• Collecting, processing, and analyzing data using Python to understand user behavior and trends

• Using Google Analytics to identify areas of improvement by analyzing user flow and monitoring web engagement metrics

• Communicating solutions to stakeholders: Delivering optimized solutions with an actionable roadmap to achieve the best results