Lih-Shyan(Chris) Fang

Lih-shyan(chris) fang

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location of Lih-Shyan(Chris) FangSeattle, Washington, United States
Followers of Lih-Shyan(Chris) Fang430 followers
  • Timeline

  • About me

    Renewable Energy Analyst @ Natural Power Consultants

  • Education

    • Carnegie mellon university

      2021 - 2022
      Master's degree energy science, technology & policy

      Covid-19 in PA: Database Design and Time Series Analysis •Designed the database schema that satisfies Boyce-Codd normal form using ER diagrams and normalization concepts.•Created database using MySQL and preprocessed data collected from PA’s Department of Health.•Performed exploratory and time series analysis using Python to identify correlation and trends between vaccination rates and infection rates.Floating Solar Photovoltaic Project•Determined project area size… Show more Covid-19 in PA: Database Design and Time Series Analysis •Designed the database schema that satisfies Boyce-Codd normal form using ER diagrams and normalization concepts.•Created database using MySQL and preprocessed data collected from PA’s Department of Health.•Performed exploratory and time series analysis using Python to identify correlation and trends between vaccination rates and infection rates.Floating Solar Photovoltaic Project•Determined project area size considering local EPA policies.•Calculated monthly solar irradiation considering latitude and albedo to forecast monthly electricity yield and determined the LCOE and IRR for the project.Assessment of Japan’s 50% Renewable Energy Target •Utilized Scikit-Learn to forecast Japan’s total energy consumption in 2050.•Employed Homer Grid to predict the economic feasibility of different residential renewable installation scenarios and recommended policies to incentivize residential renewable energy production. Show less

    • 國立成功大學

      2016 - 2020
      Bachelor of science - bs energy engineering

      Activities and Societies: Computer Science and Information Engineering Summer Course Completed 240 hours of compulsory courses in computer science including Data structures and Algorithms. Carbon Dioxide Capture Storage System• Implemented data analysis by cleaning, and visualizing data to analyze prototype performance Pharmaceutical App Development• Collaborated in a cross-disciplinary team to develop a pharmaceutical application with a database system to connect patients and pharmacies.• Developed alarm system for application to remind patients with chronic diseases to take certain medication and maintained version control using Gitkraken.• Modified… Show more Carbon Dioxide Capture Storage System• Implemented data analysis by cleaning, and visualizing data to analyze prototype performance Pharmaceutical App Development• Collaborated in a cross-disciplinary team to develop a pharmaceutical application with a database system to connect patients and pharmacies.• Developed alarm system for application to remind patients with chronic diseases to take certain medication and maintained version control using Gitkraken.• Modified application’s UI design with data-driven decisions from conducting patient surveys.Portable Vertical Axis Wind Turbine• Led team as project presenter and commentator and won fourth place out of 90 teams.• Designed 3D model in Solidworks and made use of recycled materials to 3D print and build prototype, and constructed circuits to allow USB output for the electricity generated.• Created mechanism for quick storage and enable product to have a size reduction of 91% when stored compared to operation. Show less

  • Experience

    • Mirdc taiwan

      Jul 2019 - Jan 2020
      Intern

      • Elected as quality inspector and product promoter for COOLSO’s “Wearable Gesture Control and Rehabilitation System.”• Represented the centre in international exhibitions.

    • New york power authority

      Jun 2022 - Aug 2022
      Development intern - data science

      • Productionized data pipeline and Tableau dashboard to visualize the geographics and operations of 11 coal-fired power plants to monitor the trend of service hours yearly. • Reported own findings on the statistical significance weather, line congestion and day-ahead market load have on LBMP to the Electricity Trading Team to support trading decisions. • Carried out time series analysis on LBMP for feature selection and Created RNN, LSTM, and Random Forest models to fit and predict LBMP with an RMSE of 14$. Show less

    • Natural power

      Jan 2023 - now
      Renewable energy analyst
  • Licenses & Certifications