Cahya Ratri Lukita Putri
Self-driven data and business researcher with hands-on experience across data research, AI-assisted content creation, and remote project coordination. Actively building an independent Python and web project portfolio on Git Hub spanning machine learning, NLP, financial analysis, and frontend development. Led business research and creative output for two international hackathons.
Independently writes research across financial markets, business strategy, product development, and technical analysis, with 6+ working papers produced across academic and professional formats. Bilingual in English and Indonesian, fully remote-ready, and comfortable working across time zones with asynchronous workflows.
Experience
Business Research & Creative Lead
PAYO Wallet x IBM Bob | lablab. ai Hackathon Produced a complete set of competition deliverables within a 48-hour sprint: 10-slide investor-grade pitch deck, written submission documentation, and video presentation, independently managing research, design, and creative direction Conducted competitive analysis across 6 dimensions, positioning PAYO as the only solution combining fully offline transactions, on-device AI assistance, and USDT settlement in emerging markets Collaborated in a cross-functional team of 4 competing among 5,618 participants and 1,532 global teams; team improved backend Production Readiness Score from 42 to 85 out of 100 through iterative development
Business Lead & Market Research
PAYO Wallet | Colosseum Frontier Hackathon x Tether QVAC Led end-to-end market research covering 1.3B global unbanked population, quantifying Indonesia's 97.74M unbanked adults and 30M+ UMKM micro-businesses as the primary addressable segment Delivered a TAM analysis sizing the global digital payment market at $124B (projected $325B by 2032) and validated product-market fit against Bank Indonesia's Project Garuda CBDC roadmap Coordinated a cross-functional team of 4 across PM, frontend, backend, and business tracks; managed concurrent submissions across 3 platforms (Colosseum, Superteam Earn, Superteam INDO) within a 7-day sprint Produced 7 daily building-in-public Twitter threads via @payowallet, reaching Solana and Tether ecosystem communities, and contributed structured market research documentation to the public Git Hub repository
Brand Ambassador
OSL Indonesia
Remote
Grew a combined multi-platform following to 6,055 across LinkedIn, Instagram, and X with consistent weekly growth of 3 to 4 new followers per platform, and drove 10 verified referrals through sustained audience engagement Generated 10,000+ total content views within the first 2 months by developing brand-aligned bilingual (EN/ID) copy tailored to each platform's tone and format Managed and activated community presence across Telegram and Discord, contributing to daily engagement within a 50+ member active community
Academic & Creative Assistant
Freelance
Remote
Completed 20+ client projects across 5 service types including writing, research, translation, design support, and content creation, consistently delivering within a 1 to 3 day turnaround Maintained a 4.5/5 client satisfaction rating with a high repeat order rate averaging 4 to 5 orders per returning client, acquired entirely through organic outreach via Whats App and X with zero paid promotion
Content Contributor
ZANO Project
Remote
Produced 10+ promotional posts for an international crypto airdrop campaign on X, accumulating 1,500+ total impressions over 4 months Content quality recognized at both local and international level: officially followed by ZANO Project global account and reposted by ZANO Indonesia regional community
Education
Universitas Terbuka, Indonesia
Bachelor of Urban and Regional Planning
SMAN 4 Jember
Senior High School, Natural Sciences
Chairperson of Youth Science Club, leading 60 members to compete from city to national level with multiple awards Competed in district-level olympiads across Mathematics, Physics, Chemistry, and Engineering representing the school
Skills
PythonPandasNumpyMatplotlibSeabornScikit-learnPlotlyHTML5CSS3JavaScriptSQLSVMNLPTF-IDFEDAGitGitHubClaudeChatGPTGeminiMidjourneyRunway MLPerplexity AINotionTrello
PROJECTS
XAU/USD Price Prediction & Trading Signal Analysis
Python, Scikit-learn, Pandas, Matplotlib, mplfinance
Built a dual-model ML pipeline using Random Forest Regressor (MSE ~5.57) and Classifier (~43% accuracy) trained on GLD ETF data with engineered technical indicators: MA5/10/20, RSI, and MACD Simulated a rule-based trading strategy on $10,000 capital across 121 trades, achieving a final portfolio value of ~$11,258 (+12.6% profit), with manual oversampling applied to handle class imbalance
Macroeconomic Event Impact on Crypto & Tech Stocks
Python, yfinance, Plotly, Pandas, Seaborn
Analyzed CPI release and FOMC decision effects on BTC, ETH, AAPL, TSLA, and NVDA using daily return and volatility metrics within a +/- 3 day event window across multiple macro cycles Found crypto assets reacted faster and more emotionally (BTC +3.5%, ETH +3.6% avg on CPI days) compared to tech stocks, which responded more predictably to FOMC guidance; identified post-event breakout patterns and correlation shifts during periods of macroeconomic uncertainty
Authorship Identification on Indonesian Text (NLP)
Python, SVM, TF-IDF, Wikipedia API, Scikit-learn
Scraped and preprocessed 259 Wikipedia Bahasa Indonesia articles across 5 categories (Politik, Ekonomi, Olahraga, Sains, Hukum); extracted stylometry features including sentence length, vocabulary richness, and function word frequency alongside TF-IDF character n-grams (2 to 4) Trained a linear SVM classifier achieving 46% accuracy and Macro F1 of 0.44 on a challenging homogeneous-style dataset; results validated via confusion matrix and 5-fold cross-validation (37% +/- 4%)
SafeHer: Women's Safety Web App
Gemini AI API, Leaflet.js, HTML5, CSS3, JavaScript, GitHub Pages
Designed and deployed an 11-page women's safety platform featuring an integrated Gemini AI chatbot, emergency SOS function, interactive Leaflet.js map, and a personal mood tracker Built using a vibe coding workflow with AI-assisted design, debugging, and deployment with no prior formal engineering training; fully live on GitHub Pages