UI/UX designer for political social media app- Conducted comprehensive 2-month user research to gather actionable insights and inform design strategy and developed detailed user personas, scenarios, and user journey maps.- Created wireframes, storyboards, and low to high-fidelity prototypes using Figma, iterating designs based on user feedback and testing outcomes and implemented information architecture best practices to structure and organize content effectively, facilitating easy navigation and information retrieval for users.- Utilized advanced interaction design techniques, including micro-interactions, animations, and responsive design, to create engaging and dynamic user interfaces.- Conducted heuristic evaluations and usability testing sessions using InVision and Maze with coarse grained (15 participants) and fine grained (200+ participants) user research methods, analyzing qualitative and quantitative data to identify usability issues. - Ensured all designs adhered to accessibility standards (WCAG 2.1) and best practices, enhancing usability for diverse user groups, including those with disabilities.- Delivered polished UI mockups and specifications to the development team, facilitating smooth handoff.

- Led a cross-functional team of 5 in the design of a political social media app from prototyping to launch.- Coordinated biweekly team meetings and monthly client meetings to monitor progress, address roadblocks, and facilitate effective communication.- Managed stakeholder communications, providing regular updates on project progress, risks, and key decisions.- Implemented Agile methodologies to streamline workflows, increase team productivity, and adapt to changing project requirements.- Delivered monthly comprehensive project reports and presentations to the executive team, highlighting achievements, challenges, and lessons learned.- Delivered a polished, user-friendly product that met or exceeded client expectations, contributing to increased user satisfaction and engagement.

Project Lead for the Big Data, Machine Learning, and Applied Analytics Summer Immersion Program.- Facilitated lab sessions per each team of 4-5 members, guiding students through practical applications of data analysis and machine learning algorithms, and data visualization techniques.- Utilized various data analysis and machine learning tools such as Python, R to assist students in kickstarting their capstone final project for predictive modeling- Assisted in implementing additional features in the model, such as the Return on Investment (ROI) and profit margins, to enhance predictive model performance.