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I help growing teams replace manual reporting, scattered spreadsheets, and unreliable dashboards with automated data workflows they can trust. Most clients come to me when: • reports are still updated manually every week • data lives across spreadsheets, PDFs, APIs, and dashboards • leadership does not fully trust the numbers • one person on the team is holding the reporting process together manually • the dashboard exists, but the workflow behind it is fragile I’m a Data Automation & BI Consultant with 4+ years of experience building practical reporting systems, analytics workflows, dashboards, and data automation tools for business teams. I’ve worked with global clients across fitness, insurance, media, entertainment, and B2B data. My projects have included ETL pipelines, reporting automation, dashboard systems, Excel/PDF processing, analytics layers, and large-scale data infrastructure. Recent outcomes: • Reduced manual reporting time by 80% for a multi-location fitness business using BigQuery, Apps Script, and Looker Studio • Automated PDF data extraction and Excel/VBA reporting workflows for a U.S. insurance project • Completed a complex multi-department data migration project in 5 months against a 2-year estimate • Built large-scale workforce/lead data infrastructure using Python, DuckDB, Parquet, Metabase, and automated export views What I can help with: • Manual reporting automation • KPI dashboards in Looker Studio, Metabase, or Power BI • Python / SQL data pipelines • Data cleaning, transformation, and validation • BigQuery / database reporting layers • Excel and Google Sheets automation • PDF and document data extraction • GA4/GTM tracking QA and conversion reporting • Workflow documentation and handoff How I work: • I diagnose the workflow before building • I design the data structure before the dashboard • I validate the numbers before handoff • I build in clear phases or milestones • I document the setup so your team can maintain it For messy reporting or automation projects, I usually recommend starting with a paid Data Workflow Blueprint: source review, metric logic, data model, automation priorities, and a phased build plan before implementation. Tools & skills: Python, SQL, BigQuery, DuckDB, Metabase, Looker Studio, Google Apps Script, Excel VBA, Power BI, Snowflake, R If your team is spending too much time copying, cleaning, checking, or rebuilding reports manually, feel free to message me with what is broken, what you have tried, and what needs to work first.

Passionate and detail-oriented translator with 5+ years of experience delivering high-quality Korean-English-Chinese translations, and over 1 year of interpretation experience. I have successfully completed over 100 projects, including document localization, full mobile apps, web platforms, games, and corporate content. With a Bachelor’s degree in Software Engineering and current work as a data analyst, I bring strong technical literacy and analytical thinking to every project. My background enables me to accurately translate and localize IT and tech-related content with confidence and clarity. I also have hands-on experience in: • Education-related content: Translations for lectures, academic documents, and curriculum guides • Marketing: Managed social media campaigns and content creation at LG Energy Solution • Sports: Familiar with athletic training programs and sports content localization As the only international student in my department in China, I’ve constantly worked across language and cultural boundaries, interpreting between students, professors, and institutions. I’m always looking to take on meaningful translation projects that challenge me and help businesses reach global audiences with precision and impact. Let’s work together to make your content resonate across borders.

I am a Data Analyst and Machine Learning Researcher with strong experience in Python, data analysis, and predictive modeling. I specialize in transforming raw data into meaningful insights and building machine learning models for real-world problems. I have worked on complex data projects involving structured and unstructured data, applying techniques such as data cleaning, ETL, and statistical analysis. My technical skills include: - Python (Pandas, NumPy, Scikit-learn) - Data Analysis & Visualization - Machine Learning & Deep Learning - Data Extraction and ETL pipelines I have experience working with real-world datasets and developing models evaluated with metrics such as ROC-AUC, F1-score, and RMSE. My research background allows me to approach problems analytically and deliver reliable, high-quality results. I pay strong attention to detail and always ensure that my work is accurate, well-structured, and thoroughly completed.I am responsive, reliable, and committed to delivering results on time. Let’s work together to turn your data into actionable insights.

I've grown a professional sports YouTube channel to 376K subscribers and built every automation system behind it. With 4+ years managing SNS strategy and workflow automation at a KBO baseball organization, I combine two things most freelancers can't: I know what makes Korean digital content work, and I engineer the systems that scale it. ■ What I do: Workflow Automation - Custom Notion dashboards and project management systems - Google Sheets + Apps Script automation (eliminate manual data entry) - Real-time KPI trackers and SNS performance pipelines EN-KR Translation & Localization - High-quality EN↔KR translation (OPIC AL, TOEIC 940) - Tech, software, and UI/UX localization for the Korean market - Marketing copy and YouTube subtitle transcreation Korean Market Research & Data - Native Korean speaker for data collection and market research - Korean consumer insight with sports/entertainment industry expertise ■ Why work with me? - Real results: Built SNS systems generating ₩109M+ in annual YouTube ad revenue - System thinker: I build pipelines that cut team workload by 50%+ - Bilingual precision: Ex-journalist background ensures flawless documentation in both languages Let's talk about how I can help you work smarter.

With one year of hands-on experience as a Data Scientist with the deep understanding of Machine Learning and Deep Learning. I specialize creating high accuracy ML and DL models. I aim to provide a well trained models with high accuracy. Skills: 1. Python 2. NumPy 3. Pandas 4. Seaborn 5. Sciket-learn 6. Matplotlib 7. PyTorch 8. TensorFlow 9. Keras 10. Fast.ai 11. Plotly Studio

Claire Eum U.S. CPA (USCPA) Candidate, Passed All 4 Sections Incheon, South Korea Accounting Professional | Accounts Payable (AP), Procurement & International Transactions | USCPA Candidate PROFESSIONAL SUMMARY Detail-oriented accounting professional with hands-on experience supporting accounts payable (AP), invoice validation, and international vendor coordination across procurement and logistics operations. Proven ability to manage cross-border transactions, foreign exchange payments, and high-volume data accuracy. USCPA candidate with strong analytical skills and near-native English fluency. EDUCATION & CREDENTIALS • U.S. CPA (AICPA), Passed All 4 Sections (FAR, AUD, REG, TCP) — Licensure in progress • Bachelor of Accounting — DukSung Women’s University • Computerized Accounting Certificate (Level 1) • Trade English Certification (Level 1) PROFESSIONAL EXPERIENCE PSU Korea — AP & Procurement Specialist (Overseas Trade & Logistics) Oct 2020 – Sept 2021 • Managed accounts payable (AP) processes for international vendors, including invoice verification, payment coordination, and discrepancy resolution. • Reviewed and processed purchase orders, supplier invoices, and payment documentation. • Coordinated with freight forwarders and suppliers to reconcile logistics and freight costs prior to payment. • Audited freight forwarding documents, customs clearance records, and import/export data. • Acted as the primary bilingual liaison with Taiwanese partners. Tiny Fish — Quality Assurance Specialist (AI Systems) May 2026 – Present • Conduct detailed quality assurance reviews of AI-generated workflows, ensuring compliance with established guidelines and accuracy standards. • Identify process discrepancies, data inconsistencies, and edge cases through systematic review and analysis. • Perform root-cause analysis on task failures and provide feedback to improve process reliability and quality outcomes. • Collaborate with international stakeholders to refine review procedures and maintain quality benchmarks. • Evaluate large volumes of data with a high degree of accuracy, attention to detail, and consistency. Gracenote (Nielsen) — Data Quality Analyst Dec 2022 – Feb 2026 • Performed high-volume data validation and error detection, supporting financial data accuracy. • Conducted detailed QA reviews and ensured data integrity across systems. NongHyup Bank — FX & Remittance Specialist Jul 2009 – Jan 2011 • Supported foreign exchange payments and international remittances. • Ensured accuracy in cross-border financial transactions and compliance. LANGUAGES & SKILLS Languages: Korean (Native), English (Fluent) Skills: Accounts Payable, Invoice Processing, Vendor Communication, Excel (Pivot Tables, VLOOKUP)