• Primary contributor on all predictive modeling initiatives within the Global Finance division's new Finance Analytics team which reports to the Chief Business Services Officer and CFO.• Developed a robust time series forecasting framework that will serve as a foundation for all future applications of Machine Learning methodologies to Financial Planning and Analytics initiatives.• Collaborating across time-zones, continents, and divisions to roll out a fully automated model that will generate coherent forecasts of monthly sales volumes spanning up to 1.5 years for over 2100 products and 290 regions.• Creating detailed documentation and slide decks to educate technical and non-technical stakeholders and leadership on topics pertaining to predictive modeling.• Providing guidance to data science interns on the Finance Analytics team.

• Created, administered, and graded weekly quizzes, midterms, and finals for courses ranging from 30 to 300+ students.• Prepared and delivered weekly supplementary lectures for the “Probability and Statistics” class.• Worked with students in smaller groups and developed additional course materials to provide individualized support.

• Served as the only external educator brought on for the first year of the CAMBridge Program, an Algebra summer program designed to enrich the math skills of rising 9th graders.• Oversaw the self-guided progress of 10+ students as they independently worked through various modules, and provided individualized support.• Worked 1-on-1 with each student, created supplemental materials, and facilitated and guided group discussions.

• Reported to the Head of Quantitative Research and assisted the firm’s operations by developing proprietary models and analytical routines for equity research.• Implemented Python algorithms for the statistical analysis of sets of Exchange Traded Funds.• Worked extensively with historical time series data from Yahoo Finance and other sources.

• Reported to and conducted Network Science research under the guidance of Professor Ghoshal, Professor of Physics and Computer Science.• Proposed and explored graph-theoretic strategies for efficiently expanding bike networks in real-world cities both with and without existing bike infrastructure.• Compared potential strategies by evaluating development costs, projected impact on traffic congestion levels, and other factors as simulated through the use of OpenStreetMap geolocation data.• Collaborated with researchers at ITU Copenhagen on a published research paper, "Growing urban bicycle networks". https://www.nature.com/articles/s41598-022-10783-y

• Provided highly individualized educational support to students both in person and remotely over video calls.• Students included: a rising 6th grader hoping to get a head start on his mathematics coursework over the summer, a postdoctoral neuroscience researcher who was interested in learning more about linear algebra and techniques related to dimensionality reduction, and various high school and college students.

• Teaching Assistant for the Departments of Mathematics, Physics and Astronomy, and Mechanical Engineering for various courses.• Collaborated with other TAs to grade and provide detailed feedback on problem sets, exams, and projects.• Lead and supervised laboratory sections, weekly recitations, and office hours.