Abstract
Portfolio Analysis and Interactive Design Implementation

This research paper presents a comprehensive portfolio analysis documenting my journey from aspiring data scientist to quantitative trading candidate. Over the past three years, I have systematically developed competencies in time-series modeling, statistical analysis, and operational excellence through academic research, leadership roles, and real-world applications. My experience spans six major projects, three teaching assistantships serving 80+ students, founding and scaling Forbes Student Research (1,000+ applicants, 125 selected, 100% Ivy League acceptance rate), and currently serving as President of the Data Science Association and Research Assistant in the Economics Department at the University of San Francisco.

The paper details my transition from initial interest in traditional data science to discovering quantitative trading through extensive research (500+ industry professionals contacted in one month), systematic skill development through published research (two papers on ResearchGate in mathematics education), and practical application of forecasting methodologies (6-year air quality time-series analysis presented to Indore Municipal Corporation). I demonstrate how each role has built specific competencies relevant to quantitative trading: mathematical rigor from research projects, systematic evaluation from teaching 80+ students across three courses (CS111 Java, DS100 R), operational scalability from managing 40-person teams, and rapid prototyping from building real-time housing market prediction systems.

Key Contributions

  • Built ARIMA time-series models for 6-year air quality forecasting project with Prof. Saurabh Kumar (IIM Indore), presented to Indore Municipal Corporation
  • Published two research papers on ResearchGate in mathematics education and AI applications (Dec 2022, Jan 2023)
  • Founded Forbes Student Research: processed 1,000+ applications, managed 40-person team, placed 125 students (100% Ivy League acceptance)
  • Taught 80+ students across CS111 (Java) and DS100 (R), achieving 0.5 average GPA increase
  • Leading Economics Department research on longitudinal priest assignment database (1888-present)
  • Built real-time housing market prediction system as President of Data Science Association

Keywords

Quantitative Trading, Algorithmic Trading, Time-Series Forecasting, ARIMA Modeling, Python, Statistical Analysis, Machine Learning, Portfolio Optimization, Market Microstructure, Operational Excellence, Teaching Assistant, Research Assistant, Leadership, ResearchGate, IIM Indore

Central Question

How do I demonstrate readiness for quantitative trading roles through systematic skill development in time-series modeling, statistical rigor, operational scalability, and rapid prototyping?

Portfolio Structure

This portfolio employs a comprehensive documentation approach:

  • Research Experience: 2 published papers + 6-year ARIMA forecasting project + current Economics Dept research
  • Teaching Experience: 3 courses, 80+ students, measurable outcomes (0.5 GPA improvement)
  • Leadership Experience: 5 major roles (Forbes Student Research, DSA President, RA, MAGIS/STEP mentor)
  • Technical Projects: Real-time housing prediction, entity resolution pipelines, OCR systems

Key Metrics

  • 500+ professionals contacted during career research phase (180 substantive responses)
  • 50 professors emailed for research opportunities (48 responses, selected IIM Indore)
  • 6 years of daily AQI data analyzed using ARIMA models
  • 1,000+ applications processed through Forbes Student Research
  • 125 students selected across 6 cohorts (100% Ivy League acceptance rate)
  • 80+ students taught across 3 Teaching Assistant positions
  • 0.5 GPA increase average among students I mentored closely
  • 50+ students currently mentored through MAGIS & STEP programs
  • 42 residents supported as Resident Assistant