• | HISTORICAL MARKET OVERVIEW
• | MIXED-METHOD INTEGRATION
• | HYPE CYCLE EVALUATION
• | MARKET TREND STUDY
• | RESELL STRATEGIES

WE USED A QUANTITATIVE AND QUALITATIVE APPROACH TO STUDY HOW THE SNEAKER RESELL SCENE WAS BORN AND HOW IT EVOLVED BOTH IN TERMS OF DEMOGRAPHICS AND TECHNOLOGY, IDENTIFYING THE PERIODS WHEN THE MARKET BOOMED AND WHEN IT DECLINED.

• | STRATEGY IMPLEMENTATION
• | PROGRAMMING SKILLS
• | ALGORITHM DESIGN
• | DATA ANALYSIS

WE COMBINED CODING, STRATEGY DESIGN, AND DATA ANALYSIS TO TEST HOW DIFFERENT APPROACHES PERFORM IN THE GAME OF BATTLESHIP. THE RESULTS CONFIRMED THAT RANDOMNESS LEADS TO POOR PERFORMANCE, WHILE A PROBABILITY-DRIVEN APPROACH MAXIMIZES EFFICIENCY AND SUCCESS RATES.

• | WEB SCRAPING & INTERACTION
• | ANTI-BOT MANAGEMENT
• | CAPTCHA BYPASS
• | API HANDLING

DEVELOPED A SNEAKER BOT, AN AUTOMATED SOLUTION TO PURCHASE LIMITED SHOES FASTER THAN MANUAL USERS. TESTED MULTIPLE METHODS TO BYPASS ANTI-BOT SYSTEMS AND CAPTCHAS. CODED 10+ MODULES TO AUTOMATE CHECKOUT PROCESSES ON CUSTOM WEB STORES, ACHIEVING SUB 5S CHECKOUT TIMES.

• | ERC-721 IMPLEMENTATION
• | BACKEND DB MANAGEMENT
• | PIXEL ART GENERATION
• | FRONTEND DEVELOPMENT
• | WALLET BASED AIRDROP
• | SEPOLIA DEPLOY

DEVELOPED A FULL NFT DROP ON SEPOLIA: BUILT A WEBSITE FROM SCRATCH WITH A PYTHON BACKEND AND DATABASE, GENERATED NFTs RANDOMLY VIA PYTHON (IMAGES + METADATA) AND WROTE AN ERC-721 SMART CONTRACT FROM ZERO TO ENABLE MINTING AND AIRDROP.

• | CAPM AND FAMA-FRENCH CHECKS
• | HISTORICAL EVENTS MAPPING
• | MACROECONOMICAL ANALYSIS
• | PORTFOLIO SIMULATIONS
• | AR & CAR CALCULATIONS
• | CASE STUDIES

CONSTRUCTED A MASTER TIMELINE OF TRUMP’S 2025 POLICIES. PERFORMED EVENT STUDIES. CONDUCTED MACROECONOMIC ANALYSIS USING BEA, FRED AND BLS DATA TO QUANTIFY TARIFF EFFECTS ON GDP, INFLATION, AND EMPLOYMENT AND CARRIED OUT FINANCIAL ANALYSIS TO MEASURE EQUITY RETURNS AND SECTORAL RESPONSES.