Lejia Hu

Real World Data Programmer at Boston Strategic Partners
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Contact Information
us****@****om
(386) 825-5501
Location
United States, US

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Experience

    • United States
    • Business Consulting and Services
    • 1 - 100 Employee
    • Real World Data Programmer
      • May 2023 - Present

  • DECILE Lab (Data Decision Science in Healthcare)
    • New Haven, Connecticut, United States
    • Research Assistant
      • Mar 2022 - Present

      - Support doctors on their decision making in the Decisional UTI Noise project, help the team to better interpret the clinical data by performing explanatory data analysis including hierarchical clustering, and conduct data visualization using Python ggplot and plotly libraries. - Support the team to better understand the disease by performing natural language processing on the provider's notes. - Support doctors on their decision making in the Decisional UTI Noise project, help the team to better interpret the clinical data by performing explanatory data analysis including hierarchical clustering, and conduct data visualization using Python ggplot and plotly libraries. - Support the team to better understand the disease by performing natural language processing on the provider's notes.

    • United States
    • Business Consulting and Services
    • 700 & Above Employee
    • Analyst Internship
      • Jul 2022 - Oct 2022

      - Developed model to perform “what-if” analysis for bid comparison from scratch, by deriving pricing formulas from contract, constructing pseudo-code for logic, and turning it into user-friendly dynamic model. - Performed data collection (including supplier outreach), consolidation and updates to support multiple consultants in direct and in direct procurement on multiple saving initiatives. - Conducted spend analysis to identify top suppliers, subcategories, sites/spend locations and other areas of focus in spend. -Delivered outputs in form of charts, tables, plots and other visualization formats. Show less

    • United States
    • Biotechnology Research
    • 700 & Above Employee
    • Research Assistant
      • Mar 2022 - Jun 2022

      - Participate in the “All of Us” research, using SQL and R to perform data cleaning, data wrangling, and data mining on sampled data from 20,000,000+ patients - Generate Report Table to analysis the rate of cardiovascular disease among Hispanic groups and compare it with other ethnicity groups - Participate in the “All of Us” research, using SQL and R to perform data cleaning, data wrangling, and data mining on sampled data from 20,000,000+ patients - Generate Report Table to analysis the rate of cardiovascular disease among Hispanic groups and compare it with other ethnicity groups

    • United States
    • Staffing and Recruiting
    • 1 - 100 Employee
    • Data Science Intern
      • Jan 2022 - Jun 2022

      - Use Python to build a menu recommendation system for a chain restaurant using matching and computer vision. - Collect Menu data by web scraping and user behavior data from previous users that includes demographics, allergy, preferences, as well as one favorite item on the menu. - Build collaborative filtering recommendation by Cosine Similarity function, giving users two highest ranked items recommendation based on user-user match. - Build content-bases recommendation feature by using OpenCV in Python to analyze the pictures of products, generate hand-crafted features by 1. Raw Pixel Image, 2. HoG, 3. SIFT, 4.LBP, and find matches by finding the nearest neighbor in a threshold. - Build a web interface with streamlit that allow new users to put their preference in, and output the result. Show less

  • Kiani Lab, Center for Neural Science, NYU
    • New York, New York, United States
    • Research Assistant
      • May 2020 - Jun 2021

      - Used Swift to develop an iOS app and connected it to an eye-tracker for studying monkeys’ learning behaviors. - Increased efficiency of newly designed iOS application 60% by adding content-adjusting parameters and an ‘upload-to-iCloud’ feature. - Conducted experiments with monkeys, recorded behavior data, and carried out analysis; built a concatenating program to standardize all testing data. - Visualized finger and eye positions of monkeys with MATLAB, its related toolbox ROME (Robust Optimization Made Easy), and Psychtoolbox. Show less

    • United States
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Software Engineering Intern
      • Jun 2019 - Sep 2019

      - Used Java Script and the React framework to revamp the company’s Monitor Platform website, reducing the time needed to import real-time data by 10%. - Conducted information visualization on KPI data for further product development and management. - Performed data mining and cleaning on the company’s “Coding Sheet” data for predicting stock prices, largely increasing data quality; scraped data from various websites to add new variables and improve price prediction accuracy. - Used Java Script and the React framework to revamp the company’s Monitor Platform website, reducing the time needed to import real-time data by 10%. - Conducted information visualization on KPI data for further product development and management. - Performed data mining and cleaning on the company’s “Coding Sheet” data for predicting stock prices, largely increasing data quality; scraped data from various websites to add new variables and improve price prediction accuracy.

    • Business Consulting and Services
    • 700 & Above Employee
    • Financial Data Analyst intern
      • May 2018 - Sep 2018

      - Used Excel VBA to analyze employees’ ticket booking data (e.g. booking frequency, duplicate booking, cancel frequency), significantly reducing unnecessary airline travel expenses of employees. - Issued monthly reports for AP payments and air ticket expenses and added twice the features of the previous version. - Employed a self-built program in Excel VBA to implement credit rating for existing employees, increasing analysis dimensions compared to prior version. - Used Excel VBA to analyze employees’ ticket booking data (e.g. booking frequency, duplicate booking, cancel frequency), significantly reducing unnecessary airline travel expenses of employees. - Issued monthly reports for AP payments and air ticket expenses and added twice the features of the previous version. - Employed a self-built program in Excel VBA to implement credit rating for existing employees, increasing analysis dimensions compared to prior version.

Education

  • Yale University
    Master of Science - MS, Health Informatics
    2021 - 2023
  • New York University
    Bachelor's degree, Mathematics and Computer Science
    2017 - 2021

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