Wei Duan Email & Phone Number

Durham, Nc, Us

Us

During my first year at Nationwide, I've consistently demonstrated excellence in telematics and data analysis, driving innovation and impactful outcomes across projects.Highlights:Telematic Loss Ratio Analysis:Recognized for developing a conversion chart demonstrating the profitability of transitioning to the NM2 model. Conducted comprehensive loss ratio analyses pre and post NM2 factor conversion, leading to increased profitability.Telematics Class Plan:Led analysis of SmartRide data, producing vital insights for stakeholders. Acknowledged for effective presentation preparation during challenging times.Opportunities for Greater Impact:Leadership Development: Advancing leadership skills to inspire teams and foster collaboration.Continuous Learning: Pursuing ongoing education to stay ahead in a rapidly evolving industry.Stakeholder Engagement: Building strong relationships to align projects with stakeholder needs.Process Improvement: Streamlining processes to enhance quality and efficiency.

San Francisco, Ca, Us

Data Science and Machine Learning Specialist | Coupon Redemption Insights🚀 Passionate about harnessing data to drive actionable insights and optimize customer engagement. Proficient in developing cutting-edge models to unravel coupon redemption dynamics and enable targeted marketing strategies.Key Contributions:📊 Coupon Redemption Insight Engine:Spearheaded the development of a robust coupon redemption insight engine utilizing data science and machine learning techniques.Engineered an end-to-end pipeline, orchestrating SQL-based data querying, preprocessing, feature engineering, model building, and evaluation stages.Successfully addressed class imbalance concerns by implementing diverse algorithms, leading to remarkable improvements in model performance.🔍 Target Customer Identification with Machine Learning:Applied advanced data analysis and machine learning methods (Logistic Regression, Random Forest, SVM, XGBoost, CatBoost) to swiftly identify distinct coupon categories for target customers.Orchestrated classification methods to segment customer segments effectively, resulting in improved marketing strategies.Optimized model selection using ROC-AUC and F1 scores, achieving a 200% enhancement in F1 score compared to benchmark models.🎯 Interpretable Model Insights:Enhanced model transparency and comprehensibility by leveraging SHAP (SHapley Additive exPlanations) to explain model predictions.Calculated the contribution of each feature to predictions, aiding in informed decision-making.🌟 Effective Cross-Functional Collaboration:Collaborated closely with a team of 5 members to build a predictive model that defined project scope, facilitated seamless communication, delivered impactful milestone presentations, and managed project schedules.Fostered a collaborative environment that promoted innovative problem-solving and efficient project execution.

Heart Disease Diagnosis and Gene Expression Analysis Specialist🔍 Passionate about improving medical diagnostics and exploring the complexities of gene expression. Experienced in crafting robust forecasting models and designing insightful A/B testing experiments to unravel the intricacies of heart disease and gene impact.Key Achievements:🛠️ Forecasting Model for Heart Disease Diagnosis Optimization:Innovated and implemented advanced forecasting models to elevate heart disease diagnosis precision.Developed predictive classification models including Logistic Regression, KNN, SVM, Random Forest Classifier, Gradient Boosting, and XGBoost Classifier.Conducted rigorous benchmarking against pre-trained models, ensuring confident selection of optimal approaches.📊 Results: The optimized Random Forest model demonstrated exceptional performance, delivering a remarkable 30% enhancement in diagnostic accuracy as measured by ROC-AUC, outperforming the benchmark.A/B Testing for Gene Expression Evaluation:🔬 Gene Expression Impact on Heart Remodeling:Conceptualized and executed comprehensive A/B testing experiments to delve into the influence of gene expression on heart remodeling and function.Proficiently applied two-tailed t-tests and two-way repeated measures ANOVA with Bonferroni's multiple comparisons test to analyze and interpret experimental results.📈 Findings: Identified significant improvements in heart functions and a reduction in heart weight within the experimental group, underlining the potential of gene expression modulation to enhance heart performance.

Adult Multipotent Stem Cell, Veterinary Clinical Sciences, Tissue Engineering, Feline Diabetes, Biomaterials

I am a PhD candidate of the Laboratory for Equine and Comparative Orthopedic Research at the Louisiana State University School of Veterinary Medicine. My experience includes 3 years of biomaterials and human stem cell research, and 3 years of canine and equine adipose derived stem cells research and bioreactor designing. Funding from Supported by the Opening Project of Shanghai Key Laboratory of Orthopaedic Implants, American Kennel Club Canine Health Foundation and Charles V. Cusimano EHSP grants made it possible for me to develop the skills and techniques to complete biomaterials and biomedical investigations through completion of a master degree and purchase a PhD degree. The vast majority of my research work is within the field of biomaterials and tissue regeneration, specifically bone.

Doctor Of Philosophy (Ph.D.), Veterinary Biomedical And Clinical Sciences

Master’S Degree, Materials Sciences

Bachelor’S Degree, Biomedical/Medical Engineering