Projects

This Machine Learning with Python project analyzed the connection between music preferences and mental health using data from the MXMH survey. By leveraging Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, and Statsmodels, I conducted exploratory data analysis (EDA), feature engineering, and logistic regression modeling to uncover patterns linking listening habits, favorite genres, and mental health indicators like anxiety, depression, insomnia, and OCD. My analysis revealed that certain genres—such as jazz and hip-hop—serve as mental health buffers, while others correlate with increased risks of mental health challenges. This research provided valuable insights for music therapy, personalized playlist curation, and data-driven marketing strategies aimed at improving mental well-being.

I led the marketing strategy and brand engagement initiatives for Laugh Boston, crafting data-driven campaigns to expand audience reach and increase ticket sales. I developed sample email campaigns, social media posts, OOH (Out-of-Home) marketing collaterals, and targeted marketing strategies to enhance customer engagement. Using tools like Google Analytics, SEMrush, Ahrefs, and Brandwatch, I conducted a competitive analysis, SEO audit, and social media performance review to optimize digital visibility. My approach integrated email segmentation, social media advertising, and content marketing, ensuring a comprehensive omnichannel marketing strategy. These efforts strengthened Laugh Boston’s digital presence, audience retention, and brand positioning as a premier comedy venue.

I spearheaded a marketing campaign aimed at positioning LEGO® Discovery Centre Boston’s school programming as the top choice within the Somerville public school district. By crafting a compelling strategy that highlighted the educational value, engagement opportunities, and unique experiences of LEGO® programming, I was able to create a targeted approach that resonated with educators and administrators alike. Competing against 15 teams, my campaign stood out for its creative vision and data-driven execution, earning 1st place in the Discovery Centre Boston marketing pitch competition.

As a Participant Community Manager for the MGC research project, I actively manage and grow our subject pool by developing and executing recruitment strategies, including outreach to colleges across Massachusetts. I track participant engagement and ensure timely communication, while fostering a positive and engaging environment for participants. My responsibilities include refining recruitment materials, maintaining an outreach calendar, and supporting diversity in our subject pool. Additionally, I collaborate closely with primary investigators to provide updates on the participant community. I’ve completed CITI training, which enhances my skills in ethical research management, communication, and organization.

As a researcher, I investigated the emotional dynamics that influence e-waste disposal behaviors, focusing on how individuals' emotions and attachment to electronic devices shaped their attitudes and actions toward proper disposal. My research uncovered key insights into why people hesitated to discard their devices responsibly, driven by emotional connections. I also examined the effectiveness of e-waste awareness campaigns in triggering feelings of social responsibility and assessed how these emotions influenced more sustainable disposal decisions. This research contributed to the development of more effective, emotionally resonant e-waste management strategies.

As a researcher, my role involved conducting a comprehensive gap analysis between EETech and its selected competitors within the semiconductor industry. The analysis identified key differences in service offerings, performance, and competitive positioning. By examining trends in data transformation services, the research highlighted areas where EETech could improve, including providing higher quality services, offering competitive pricing, addressing data security risks, and managing cost constraints. These insights formed the basis of my recommendations, aimed at enhancing EETech’s market position by closing gaps with competitors and ensuring long-term competitiveness in the semiconductor sector.