Narayan Sajeev
Honors Finance Student at Northeastern University
2 yrs experience · <10 hrs/week
About
I am a dedicated and analytical student pursuing a Bachelor of Science in Business Administration with a concentration in Finance at Northeastern University. With a strong foundation in data analysis, supply chain management, and financial reporting, I am passionate about leveraging data-driven insights to drive impactful decision-making. As a Research Intern at the MIT Food Supply Chain Initiative, I enhanced forecasting accuracy by 10% through data integration and analysis while automating data processing to save valuable time and improve efficiency. My experience as a Program Coordinator for the New Hampshire Youth Movement allowed me to advocate for mental health funding, successfully securing $500,000 through data-driven policy proposals. I also gained valuable experience working as a congressional staffer for US Representative Annie Kuster. I analyzed real estate data to inform housing policy and utilized ArcGIS tools to support senior housing initiatives. My internships equipped me with robust financial analysis, data visualization, and automation skills, significantly improving reporting accuracy and efficiency. Outside of my academic and professional pursuits, I have led initiatives such as the Governors Youth Advisory Council, where I founded the Mpower addiction recovery platform and advocated for mental health resources in schools. I am committed to using my skills to positively impact my community and beyond. I am excited to connect with professionals and organizations that share my passion for finance, data analytics, and social advocacy. Lets connect!
Skills
Experience
- Research Intern · MIT Sloan Food Supply Chain Analytics and Sensing Initiative03-01-2023 – 08-01-2024
Performed in-depth analysis on supply chain, leveraging Excel and data visualization tools to integrate 400 reports into AMR Data Pipeline, resulting in 10% improvement in forecasting accuracy within 3 months. Developed and deployed Python script (pandas, numpy) to automate data processing of 10,000 files, reducing overall processing time by 15% and saving 8 hours per week in manual labor. Enhanced data integrity by conducting thorough audits of 1,000 files, employing automated validation techniques that reduced errors by 20% and improved data accuracy.
- Program Coordinator · New Hampshire Youth Movement05-01-2022 – 09-01-2023
Presented data-driven policy proposals to lawmakers, advocating for mental health programs that successfully secured $500,000 in funding for communities. Coordinated 100 volunteer events, boosting resource allocation by 10% through new database management system using EveryAction.
- Congressional Staffer · U.S. House of Representatives10-01-2022 – 04-01-2023
Conducted comprehensive financial analysis of 3 years of New Hampshire real estate data, identifying key trends in sales, pricing, and volume that informed risk mitigation strategies in housing policy. Crafted detailed presentations highlighting geographic disparities in housing markets, directly influencing legislative proposals for equitable housing. Utilized ArcGIS to create intricate map of 20 senior centers across New Hampshire, providing critical insights that helped policymakers allocate over $1 million to senior housing.
- Intern · Manning School of Business, UMass Lowell04-01-2022 – 09-01-2022
Performed thorough financial analysis of 100 SEC 10-K filings, assessing impact of cybersecurity risks on stock performance and providing strategic recommendations to research directors. Designed and implemented Python-based automation script (pandas, beautifulsoup) to streamline review of SEC filings, improving reporting accuracy by 30% and reducing manual review time by 50%.
Education
- D'Amore-McKim School of Business at Northeastern UniversityBS in Business Administration, Finance
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