About Me Skills Experience Certifications Education





Hello, I'm

Wei Yang 杨炜

.

Matrix machine illustration
  • Data Scientist at Kemper.
  • Previously at The AES Corporation, led the AES Farseer Renewable Generation Forecasting platform, supported LNG Optimization, Turbine Fault Detection, LLM-based resume evaluation, and EVSE planning. Recommendations from peer and direct manager can be found on my LinkedIn profile .

  • A self-proclaimed photographer. I love capturing pictures of architecture, landscapes, stars, and wildlife. These photos not only showcase the world but also reflect a part of myself at that moment. I've set foot on six continents, with Antarctica being the only one left to explore.

  • Taught various courses in Mathematics and Statistics while doing Ph.D at Binghamton University. My notes for Linear Algebra, Calculus 3 and Statistics, can be found at the following links : 🔖(LinAlg), 🔖(Cal3) and 🔖(Stat).
  • Studied Mathematics and Statistics, researched in Random Matrix Theory at Binghamton University.
  • Studied Economics and Mathematics, with a focus on Financial, Actuarial and Computational Mathematics at Baruch College.

  • Skilled in multiple scripting languages, including Python, R, Javascript and Julia. Lately I have been trying to use shell and bash commands to do as much as possible.

  • On this website, I will be creating notes on various materials for myself and others to learn or review.
Mathematics
Insurance
 Probability
Risk Management
 Machine Learning
Commodity Trading
Economics
Renewable Energy
 Finance
    Kemper Insurance - Pricing and Research Data Scientist
    May 2025 - Present, Remote Earth
    The AES Corporation - Digital Solutions and Innovation
    • Wind & Solar Generation Forecasting
      • Spearheaded development of the AES Farseer renewable generation forecasting system for 30+ AES wind and solar sites across the Americas. Achieved 30.4% mean absolute error reduction compared to vendor models, generating $12.2M in operational savings by improving forecast accuracy.
      • Researched the impact of extreme weather events such as icing on wind generation, calibrated models to the local weather patterns, and achieved a 45% reduction in forecast error under extreme weathers.
      • Enhanced model interpretability and strengthened stakeholder trust through the use of explainable AI (XAI) techniques.
    • Solar Panel Dust Detection & Fault Detection System
      • Implemented EfficientNet architecture in PyTorch for solar panel dust detection, achieving a 16% improvement over traditional CNN models.
      • Developed turbine fault detection models using Moving Window PCA, reducing fault detection time from 7 days to under 48 hours. The models reduced maintenance costs by over 45%.
    • LNG Optimization Model
      • Created stochastic dual dynamic programming (SDDP) models in Python/OR-Tools to optimize LNG procurement strategy, increasing profit by 24% through dynamically balancing inventory, obligations, and price volatility.
    • Other Projects
      • Collaborated with HR specialists on resume scoring models using Large Language Models (LLMs) & Natural Language Processing (NLP) techniques. The model reduced the resume screening time of 300 applications from 2 weeks to 1 day.
      • Commodity Trading
      Forecasting
      Renewable Energy
      EVSE Locational Valuation LLMs NLP
    • Leveraged Random Matrix Theory and Modern Portfolio Theory to develop an internal package for solving various portfolio optimization problems.
    • Worked with teams of engineers and traders to leverage AI/ML for daily operations.
      • Portfolio Optimization Random Matrix Theory Modern Portfolio Theory Machine Learning
    Binghamton University - Department of Mathematics and Statistics
    • Taught over 1000 students in Data Science, Probability, Statistics, Linear Algebra, and single/multivariate Calculus
    • Created comprehensive study materials and interactive learning resources that improved student comprehension of advanced mathematical concepts
    • Implemented data-driven assessment strategies, resulting in 20% average improvement in student performance from initial to final exams
    • Provided individualized support through regular office hours and proactive student outreach, maintaining consistently high student satisfaction
      • Instructor Binghamton
    • Attend Senate meetings and committee meetings, on the behalf of over 70 graduate students in the department. Communicate with colleagues in math department on pertinent issues raised during meetings.
      • Student Senator Graduate Student Organization
    Queensborough Community College - Math Center
    • Worked with students from disadvantaged backgrounds.
    • Guided students in developing study strategies and good study habits. Led group and one-on-one tutoring session for struggling students.
    • Tutored students in courses including algebra, trigonometry, calculus and linear algebra.
      • Tutor Queensborough
  • Google Cloud Big Data and Machine Learning Fundamentals 🔗
  • Sequence Models for Time Series and Natural Language Processing🔗
  • Master Python for Data Science, LinkedIn Learning 🔗
  • Master SQL for Data Science, LinkedIn Learning 🔗
  • EXAM P Probability, Society of Actuaries 🔗
  • EXAM FM Financial Mathematics, Society of Actuaries 🔗
  • Six Sigma Green Belt, Edu360 🔗

    • Google Cloud ☁ Python SQL Data Science Probability Financial Mathematics
  • Binghamton University, SUNY
    Binghamton, NY     Ph.D. in Mathematics and Statistics (2023, ABD)
    Master of Science in Mathematics and Statistics (2018)
    Dissertation Fellowship
    GPA : 3.91/ 4.00
    • Ph.D. Fellowship Mathematics Statistics Binghamton


  • Baruch College, CUNY
    New York, NY     Bachelor of Arts in Economics (2016)
    Bachelor of Arts in Mathematics with a minor in Philosophy (2016)
    Dean's List
    GPA: 3.77/4.00
    • Mathematics Economics Philosophy Baruch Dean's List



  • Francis Lewis High School
    Queens, NY     High School Diploma (2011)
    Math Team

Six continents, seven countries, fifty-four places, one map. Every place in the albums, pinned — from the Yellow River to the Sacred Valley, and the three cities Yue and I visited together, marked with a ❤️.

🌎 6 continents 🗺️ 7 countries 📍 54 places 📅 Mar 2019 – Oct 2026

Explore the Atlas 🗺️ →