I am a solution-oriented analyst with a Bachelor of Science in Mathematics who transforms raw data into integrity‑driven insights so stakeholders can make evidence‑backed decisions. To bridge my mathematical foundation with modern data needs, I enrolled in RevoU's Full Stack Data Analytics program. There, I gained proficiency in statistical modeling, data cleaning, and visualization. As part of its final project, I engineered an ETL pipeline that unified multi-table datasets from diverse sources including APIs, reducing preprocessing time by 35% while ensuring data integrity. My blend of mathematical rigor, critical thinking, and stakeholder communication ensures that every insight drives data-powered impact.
YOHANES DIMAS NUGRAHANTO WIBOWO
About Me
Skills
Technical Skills
- Quantitative Analysis
- Pattern Recognition
- Statistical Modeling
- ETL Pipeline Development
- Data Wrangling
- Exploratory Data Analysis (EDA)
Tools
- Python (Pandas, NumPy, Matplotlib, Seaborn)
- SQL (BigQuery)
- Tableau
- Power BI
- Excel
Domain Knowledge
- Financial Markets
- Cryptocurrency (Bitcoin/Gold)
- Macroeconomic Indicators
- Risk Assessment
Soft Skills
- Critical Thinking
- Stakeholder Communication
- Rapid Problem-Solving
Language
- Indonesian (Native)
- English (Professional Proficiency)
Project Experience
FSDA DEEPP Project – Data Analyst
RevoU
October 2025 – February 2026
Engineered an AI-assisted framework to quantify the hedging efficacy of Gold (0.02 correlation to CPI) and Bitcoin for Singaporean retail investors amidst shifting inflationary regimes.
- Constructed a unified ETL pipeline using Python (Pandas) to ingest multi-source data (yfinance for SGD/USD, CPI via REST API, and SORA via CSV), reducing preprocessing time by 35% while maintaining 100% data integrity.
- Modeled asset hedging efficacy through statistical pattern recognition, identifying that Gold maintained a low 0.02 correlation with inflation, validating its stability for Singaporean retail portfolios.
- Quantified Bitcoin’s volatility by correlating returns against the Crypto Fear & Greed Index, proving a high sensitivity to sentiment that necessitates a "regime-aware" approach for local investors.
- Developed an executive Tableau dashboard that synthesized these findings into visual risk-assessment tools, enabling investors to identify optimal hedging windows based on real-time CPI and SORA trends.
Professional Experience
Independent Payment-Helper Analyst
Self-Employed Household Payment Solutions
August 2018 – January 2025
Led data operations for a high-volume payment platform, leveraging statistical monitoring to secure revenue streams and mitigate risks across more than 4 utility sectors.
- Streamlined data-cleaning workflows using Excel formula, reducing reporting latency by 30% and enabling a shift from monthly to weekly performance audits.
- Implemented validation protocols for transactional datasets, eliminating around 95% of reconciliation errors and ensuring 100% accuracy across payment tracking logs.
- Evaluated multi-year sales trends to quantify pandemic-induced revenue shifts, providing the data-driven evidence used to pivot the business strategy toward advanced analytics.
Mathematics Seminar Committee
Sanata Dharma University
June 2014 – October 2014
- Synthesized a centralized master database for around 200 national attendees by aggregating and cleaning unstructured raw data from email submissions, establishing a Single Source of Truth for event operations.
- Managed an automated validation tool using advanced Excel formulas to cross-reference registrations against payment logs, reducing administrative processing time by 30% and eliminating manual entry errors.
- Standardized the onboarding data workflow for keynote speakers and participants, ensuring 100% fee collection accuracy and precise affiliation tagging for the published national directory.
Education
RevoU
Full Stack Data Analytics Program - Batch October 2025
October 2025 – February 2026
Mastered end-to-end data analytics workflows, from statistical modeling and Python scripting to stakeholder-ready visualization using Tableau and Power BI.
Sanata Dharma University
Bachelor of Science (S.Si) in Mathematics – GPA 3.67/4.00
September 2009 – August 2014
Built foundational analytical rigor through advanced calculus, statistical theory, and logical problem-solving applicable to complex data environments.