Ryu Jiwon

Data-Driven Problem Solver with Expertise in AI, Machine Learning, and Business Analytics

Experienced data analyst with hands-on experience in data analysis, predictive modeling, and machine learning. Proficient in Python, SQL, and advanced algorithms such as ata analyst with hands-on experience in data analysis, predictive modeling, and machine learning. Proficient in Python, SQL, and advanced algorithms such as XGBoost, GBM, and GLM. Adept at delivering actionable business insights and driving decision-making through data-driven solutions.

Key strengths include:

• End-to-End Data Analysis and Modeling: At AXA Korea, developed predictive machine learning models to estimate insurance loss ratios, analyzing large datasets to optimize product portfolios and mitigate risks. Effectively communicated findings through visualization tools like Tableau.
• AI-Based Solutions for Real-World Challenges: Successfully led the Hanmi Pharmaceutical NLP Capstone Project, building a drug adverse reaction detection model using KcElectra and PyTorch. Transformed unstructured text data into actionable insights for pharmaceutical safety monitoring.
• Strategic Insight Generation: Leveraged advanced statistical analysis and machine learning techniques to uncover trends, identify opportunities, and deliver measurable improvements in business strategy and risk management.
• Cross-Functional Collaboration: Experienced in working across global teams, bridging technical solutions with business needs through strong communication skills in Korean and English.

Passionate about translating complex data into meaningful solutions, I excel at connecting technical expertise with business outcomes to solve real-world challenges. I am eager to contribute to Palantir’s mission of empowering organizations through data-driven decisions.

English Certifications

• OPIc: Advanced Low, August 2024
• TOEIC: 915/990, August 2022