Professional Skills

• Tools: MySQL, Git, MS Excel, Tableau.
• Programming Languages: Python, R, MATLAB, C, Linux Shell Script
• Technical Skills: Data Analysis, Data Mining, Data Visualization, Exploratory Data Analysis, Extract Transform Load, Statistical Modeling, Predictive Modeling, Machine Learning, Cloud Computing (AWS), REST APIs
• Soft Skills: Critical Thinking, Problem Solving, Time Management, Organizational, Collaboration, Communication

Education

Work Experience

07/2021 – 07/2024 Guangzhou, China

Research Engineer | Electric Power Research Institute of Guangdong GRID • Directed an extreme weather monitoring and alerting system combined with accurate numerical weather forecast, improving predicting accuracy by 20%. • Developed a weather data quality assessment model using Python, increasing data qualification rate over 30%. • Collaborated to propose a two-stage stochastic programming framework under typhoon disaster for the first time, reducing the post-event expected recourse operation cost by 15%, boasting 19 publications and 5 granted patents.

05/2020 – 07/2020 Nanjing, China

Data Analyst | Jiangsu Environmental Protection Technology Institute • Designed and implemented automated Python program correcting analysis compared with observations, boosting data processing speed by 30% and improving data accuracy by 20%. • Analyzed and visualized time series and spatial distribution of various meteorological elements, improving forecasting accuracy by 15%, leading to more data-driven decision-making. • Conducted testing and data validation on target tables from source database using SQL queries, reducing processing time by 30% and enhancing data pipeline efficiency.

Academic Projects

Billionaires Dashboard | 02/2025 – 03/2025

• Created an interactive dashboard using Python Dash enabling stakeholders to explore billionaires’ landscape effortlessly via complex data visualizations, including bar charts, scatter plots, choropleth maps and pie charts.
• Enabled multi-dimensional data filtering and drill-down analysis, increasing user engagement and exploration depth by 30%.
• Reduced the time required for stakeholders to retrieve insights by 40%, providing valuable insights on wealth accumulation patterns and spatial trends.

Publicholidays Package Development – R | 02/2025 – 03/2025

• Developed the publicholidays R package, achieving 100% API coverage by implementing 5 functions that provide comprehensive holiday insights for over 100 countries using the Nager.Date API.
• Enhanced usability and functionality over the outdated nagerdate package by expanding from 3 to 5 functions, improving data accessibility for businesses requiring holiday-based analytics.
• Optimized API integration, enabling users to retrieve holiday data, check for public holidays in real-time, and analyze long weekends, streamlining business scheduling and forecasting.
• Improved data retrieval efficiency, reducing holiday lookup time by 30% compared to manual API queries, benefiting global businesses that rely on automated holiday insights.

Wine Quality Distribution Prediction | 02/205 -03/2025

• Developed predictive models using Generalized Linear Models (GLM), Generalized Additive Models (GAM), Gaussian Mixture Models (GMM) and Random Forest, achieving high accuracy of over 85% for classification tasks.
• Conducted a comprehensive feature importance analysis, identifying key predictors of wine quality and providing actionable insights for winemakers.
• Applied the Shapiro-Wilk test to evaluate the normality of features and conducted the Mann-Whitney U test, revealing statistically significant differences between red and white wines in most features.

Quizzing Package Development – Python | 11/2024 – 12/2024

• Designed and implemented a modular quizzing system in Python with a structured question bank, quiz session management, and time tracking, ensuring scalability and maintainability using OOP principles like inheritance and modular design.
• Developed a question bank system with functionalities for loading, classifying, and managing quiz questions from JSON/CSV files, including automated classification by category and difficulty with statistical analysis.
• Built a dynamic quiz session manager that tracks user progress, records wrong answers with detailed feedback, calculates scores in real-time, and enforces time limits using an integrated quiz timer.
• Implemented randomized question selection based on category and difficulty, creating adaptive and engaging quiz experiences with dynamic question sets.

Publications

• He, H., Wang, L., Zhou. E., Wei. R., & Liu. S. (2024). Domain Adaptation Infrared Forest Fire Detection Method Based on YOLOv5 Framework. International Journal on Artificial Intelligence Tools, 33 (07), 2440007. https://doi.org/10.1142/S0218213024400074
• Wei, R., He, H., & Wang, L. (2024). Distribution Substation Risk Assessment Under Rainfall Flood Based on HEC-RAS. In 2024 The 9th International Conference on Power and Renewable Energy (ICPRE) (pp. 478-482). IEEE. https://doi.org/10.1109/ICPRE62586.2024.10768443
• Li. Z., Hou. H., Wang. Z., Wei. R., He. H., & Wang. L. (2024). Risk Assessment of Transmission Tower Based on Analytic Hierarchy Process Under Typhoon-Rainstorm-Flood Disaster Chain. In 2024 The Purple Mountain Forum on Smart Grid Protection and Control, 772-784. https://doi.org/10.1007/978-981-96-1671-8_50
• Wu, W., Hou, H., Wei, R., He, H., Wang, L., Liang, Y., Wu, X., & Xu, J. (2024). China Southern Power Grid Fault Analysis Under 2023 Typhoon Haikui Disaster. In 2024 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) (pp. 38-42). IEEE. https://doi.org/10.1109/ICPSAsia61913.2024.10761596
• Hou, H., Wu, W., Zhang, Z., Wei, R., Wang, L., He, H., & Dong, Z. Y. (2024). A Tri-Level Typhoon-DAD Robust Optimization Framework to Enhance Distribution Network Resilience. Reliability Engineering & System Safety, 110004. https://doi.org/10.1016/j.ress.2024.110004
• Liang, Y., Wei, R., He, H., Wang, L., Tang, J., & Hou, H. (2024). Fault Analysis of Guangdong Power Grid in China During 2023 Super Typhoon Saola. In 2024 9th Asia Conference on Power and Electrical Engineering (ACPEE) (pp. 1763-1767). IEEE. https://doi.org/10.1109/ACPEE60788.2024.10532344
• Wu, W., Hou, H., Zhu, S., Liu, Q., Wei, R., He, H., Wang, L., & Luo, Y. (2024). An intelligent power grid emergency allocation technology considering secondary disaster and public opinion under typhoon disaster. Applied Energy, 353, 122038. https://doi.org/10.1016/j.apenergy.2023.122038
• Gao, F., Hou, H., Li, S., Wei, R., Wang, L., & He, H. (2023). Prediction of Power Outage Areas in Distribution Networks During Typhoon Disasters. In 2023 2nd Asia Power and Electrical Technology Conference (APET) (pp. 506-510). IEEE. https://doi.org/10.1109/APET59977.2023.10489708
• Hou, H., Tang, J., Zhang, Z., Wu, X., Wei, R., Wang, L., & He, H. (2023). Stochastic pre‐disaster planning and post‐disaster restoration to enhance distribution system resilience during typhoons. Energy Conversion and Economics, 4(5), 346-363. https://doi.org/10.1049/enc2.12098
• Hou, H., Liu, C., Wei, R., He, H., Wang, L., & Li, W. (2023). Outage duration prediction under typhoon disaster with stacking ensemble learning. Reliability Engineering & System Safety, 237, 109398. https://doi.org/10.1016/j.ress.2023.109398
• Wu, W., Hou, H., Wu, X., Wei, R., He, H., & Shi, Y. (2023). Emergency repair strategy of distribution network under wind disaster based on multidimensional importance evaluation. Energy Reports, 9, 275-282. https://doi.org/10.1016/j.egyr.2023.04.302
• Wei, R., He, H., Wang, L., Luo, Y., Tang, J., Hou, H., He, Z., & Wu, X. (2023). Resilience Enhancement of Power Distribution System Under Extreme Weather Events: A Review. 2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), 1038-1043. https://doi.org/10.1109/ICPSAsia58343.2023.10295047
• Hou, H., Tang, J., Zhang, Z., Wang, Z., Wei, R., Wang, L., He, H., & Wu, X. (2023). Resilience enhancement of distribution network under typhoon disaster based on two-stage stochastic programming. Applied Energy, 338, 120892. https://doi.org/10.1016/j.apenergy.2023.120892
• Wei, R., He, H., Wang, L., Luo, Y., Wu, W., & Hou, H. (2023, April). Review of power grid importance identification and cascading fault under natural disasters based on complex network theory. In 2023 Panda Forum on Power and Energy (PandaFPE) (pp. 1338-1343). IEEE. https://doi.org/10.1109/PandaFPE57779.2023.10141242
• Wei, R., He, H., & Wang, L. (2023, April). A Review of Research on New Power System under Typhoon Disaster. In 2023 8th Asia Conference on Power and Electrical Engineering (ACPEE) (pp. 2662-2666). IEEE. https://doi.org/10.1109/ACPEE56931.2023.10135630
• Wei, R., He, H., Wang, L., & Luo, Y. (2023, April). Review on Transmission Line Importance Evaluation. In 2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)(pp. 2263-2267). IEEE. https://doi.org/10.1109/ACPEE56931.2023.10135589
• Wei, R., Wang, L., & He, H. (2023). Review on distribution network damage prediction and assessment under typhoon disasters. Procedia Computer Science, 224, 413-418. https://doi.org/10.1016/j.procs.2023.09.057
• Xu, H., Hou, H., Ge, X., Wei, R., & He, H. (2022, November). Flexible Recovery Strategy of Distribution Network after Wind Disaster with Distributed Generation. In 2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) (pp. 3269-3273). IEEE. https://doi.org/10.1109/EI256261.2022.10116697
• Wei, R., Wang, L., Wang, T., Zhou, E., Liu, S., He, H., Yang, H., & Wang, S. (2022). Segmentation of high-voltage transmission wires from remote sensing images using U-Net with sample generation. Remote Sensing Letters, 13(8), 833-843. https://doi.org/10.1080/2150704X.2022.2089068
• He, H., Lei, L., Whitaker, J. S., & Tan, Z. M. (2020). Impacts of assimilation frequency on ensemble Kalman filter data assimilation and imbalances. Journal of Advances in Modeling Earth Systems, 12(10), e2020MS002187. https://doi.org/10.1029/2020MS002187

Patents

• “Abnormality monitoring method, device, equipment and storage medium for transmission line tower“, CN114838762B, 2024, E Zhou, L Wang, Y Huang, X Tian, Z Rao, R Wei, T Wang, S Liu, H He, H Wang, Q Liu, X Sun, S Guo. 
• “Tower displacement settlement monitoring method and system“, CN113884054B, 2023, R Wei, Y Huang, L Wang, E Zhou, S Liu, Z Rao, S E, J Jiang, H He, S Guo. 
• “Fire prevention and control method, device, equipment, system and storage medium“, CN115350423B, 2023, E Zhou, L Wang, X Tian, Z Rao, R Wei, Y Luo, S Liu, H He, L Fan, B Gong, Y Liao, R Li, D Zhu.
• “Tower damage prediction method and device based on data driving and model driving“, CN114418194B, 2022, Y Huang, L Wang, R Wei, X Zheng, E Zhou, H He, S Liu, Y Luo, L Zhu, H Wang.
• “Intelligent allocation method for electric power rush-repair team“, CN113902346B, 2022, R Wei, L Wang, Y Huang, H He, E Zhou, T Wang, S Liu, J Jiang, Y Lu, Y Shen.