- Spearheading a $50,000+ annual fundraising campaign, optimizing resource allocation for engineering projects and implementing cost forecasting tools, streamlining budgeting processes to improve financial planning

- Researching and analyzing complex economic and industry-specific topics, crafting engaging articles that resonate with diverse audiences

- Collaborating with editors and team members to ensure accuracy, clarity, and originality in all written pieces, offering insights into topics like market dynamics, international trade, and industry challenges

- Incoming article: “From Hierarchy to Parity: The Shifting Economic Landscape of India’s Castes”

- Building relationships with sponsors leading to an increase of 25% in annual funding and amplifying the organization’s presence through strategic community engagement and branding initiatives.

- Established a bi-monthly alumni newsletter that reaches 200+ recipients and is continuing to grow, generating fresh sponsorship leads and fostering long-term partnerships.

- Conceptualize and execute wellness programs aimed at improving campus community engagement and building collaborative initiatives with faculty, bridging gaps between academic and social activities for 1,000+ students

- Contributed insights and recommendations at editorial meetings, drawing on detailed analysis to support journal objectives

- Ensured papers passed through editing rounds align with the standards and guidelines of the journal

- Collaborated with a dedicated team to create surveys and questionaries for students, alumni, and employers

- Crafted impactful survey questions to gather valuable insights; distributed surveys using online tools and various other methods

- Analyzed data to uncover trends and drive program improvements and presented findings to enhance student career support

- Conducted thorough market research to optimize resource allocation strategies, achieving a 15% improvement in financial forecasting accuracy and delivered data-driven reports to senior management, simplifying complex insights for informed investment decisions

- Analyzed time-series financial data and PACF models using Python to process large datasets, calculate lagged correlations, and visualized trends to identify patterns in prediction markets

- Optimized code to ensure accurate insights through comprehensive data cleaning and validation techniques; used Facebook’s BART to categorize market prediction questions, improving dataset usability

- Processed and cleaned raw heart disease datasets using R and normalized features to ensure data quality and consistency for machine learning applications

- Developed predictive models and used stratified sampling to maintain data distribution

- Analyzed Thailand’s competitiveness strategy in achieving SDG 8 using economic indicators (GDP, employment rates, productivity) from 2017–2021

- Assessed policy effectiveness on job creation, labor rights, and youth employment identifying key gaps through secondary research and official reports