Project: Ethical Exploration of Data Ownership and AI MonetizationGoal: To investigate and critically assess ethical issues surrounding data ownership, particularly user-generated content and its role in AI training, under the mentorship of Dr. Kevin Mills.

Project: Development of an Interactive Event Planner AppGoal: To enhance app functionality and user engagement through the design and implementation of key interface components, while improving overall user satisfaction and interface efficiency.Main Accomplishments:- Designed and implemented user-friendly notification and profile interfaces in Flutter, resulting in a 30% increase in app functionality and user engagement.- Led two user testing sessions with 7 participants, leveraging feedback to improve user satisfaction by 25% and interface efficiency by 20%.

Project:Automation of Mentor Assignment System, Dynamic Visualization of Startup Data, and Development of Startup Potential Prediction Model.Goal: Automate and improve manual processes for greater efficiency and accuracy in mentor assignments and startup evaluation, while developing predictive tools for enhanced data visualization and decision-making.Main Accomplishments:-Reduced mentor assignment time from 1 week to 2 minutes with 99% accuracy through automation.- Automated cumulative funding distribution analysis for 800+ startups, providing real-time insights.- Developed a machine learning model to predict startup potential, supporting the evaluation process for 1,500+ applications.- Created detailed documentation on model usage, cumulative data visualization, and mentor assignment automation for executive leadership and IT.

Project: Healthcare Innovations Research - Analysis and Visualization of the MIT Healthcare EcosystemGoal: To determine and visualize current trends in healthcare startup emergence within the MIT ecosystem, providing valuable insights into the formula for successful startup creation.Main Accomplishments:- Scraped data on 1,653 healthcare startups and 938 MIT alumni from Pitchbook using a JavaScript web scraper, enabling detailed analysis of entrepreneurial trends within the MIT healthcare ecosystem.- Developed and implemented Python scripts to organize scraped data into .csv files, reducing processing time by 20% and improving integration with our SQL server.- Analyzed research papers on machine learning methodologies to refine our approach to data visualization, enhancing the effectiveness and accuracy of our insights.- Leveraged Google Looker Studio to visualize alumni-startup connections, uncovering that 27% of healthcare startups are based in Massachusetts, significantly informing strategic planning efforts.- Authored a comprehensive final report detailing the relationships between alumni and healthcare startups, providing key trends, actionable insights, and suggestions for future members of the research group.- Enhanced presentation skills through weekly subgroup sessions and 1-on-1 meetings, ensuring consistent progress and alignment within the team.

Project: Implementation of Archival System Framework within OSI PI System and Automation of Monoclonal Antibody Spectral Data ConversionGoal: To create an industry-standard dataset for monoclonal antibody cell creation, aiding the advancement of cancer treatment research.Main Accomplishments:- Automated MATLAB code for spectral data conversion to .csv, increasing efficiency by 50% and reducing processing time by 30%.- Upgraded data conversion from single-file to multi-file handling, enhancing the process's overall efficiency.- Developed an OSI PI System framework to integrate over 10,000 historical .spc files, streamlining data retrieval by 40% and improving decision-making.

Role: Tennis Instruction for Students Aged 7 to 16Goal: To improve students' tennis skills, including groundstrokes, serving, and cross-court techniques, while minimizing injuries and enhancing overall performance.Main Accomplishments:- Provided structured guidance through drills, tailored coaching, and supervised match play to develop essential tennis skills.- Successfully minimized student injuries through targeted injury prevention strategies.- Achieved a noticeable increase in skill level across all students, reflecting the effectiveness of the coaching approach.