Louvain Metropolitan Area
I grew up curious about how things work — first the power electronics, then the algorithms that run on top of it. That curiosity took me from a Bachelor's in Electrical Engineering at NCEPU to a Master's in Data Science at ANU, with stops along the way analyzing markets at Midea and advising on photovoltaic deployments. The common thread? I like turning invisible systems — electricity, user behavior, product performance — into something you can see, measure, and improve. Right now I'm exploring how to predict magnetic loss more accurate and efficient. If you're working on something at that intersection (or just have a hard magnetic problem looking for a home), I'd love to hear about it.
Managed EPC for 10+ projects (60 MW total), completing on schedule and within budget, achieving 10% average cost savings. Conducted research on large-scale photovoltaic power stations in Inner Mongolia and other places to explore the potential of the new photovoltaic energy aftermarket, disassembled the upstream, midstream and downstream industry chain of inverters, analyzed in detail the possibility of improvement in the areas of IGBTs, capacitors, etc., and authored "Prospects for Technical Improvement of Large-Scale Photovoltaic Power Station Inverters Evaluated and budgeted the revenue of energy storage in the power spot market, secondary frequency regulation, leasing, etc., and participated in the preparation of the annual strategy report on energy storage, analyzing the development trend of domestic and international energy storage markets and the market space in 2024.
Conducted data cleaning and analysis of keywords related to air conditioners and other products in various software using tools such as Python to achieve efficient processing and utilization of 500,000 pieces of data. Built a systematic data system, including data cleaning, data pre-processing, data analysis and data visualization, which has increased the accuracy of analysis of relevant product situations by 50%. Designed a diversified index system to measure and evaluate market performance, user feedback, and sales data of products, which provides data to support the company's decision making. Analyzed the elements of boom articles in depth, including KOL, content, format, track, etc., and produced 4 boom articles, which brought a 20% increase in sales, and enhanced the company's brand influence in the industry.