Lei Z.

Merchant Tech Lead at CITCON
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
New York, New York, United States, US
Languages
  • Chinese Native or bilingual proficiency
  • English Full professional proficiency

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

5.0

/5.0
/ Based on 2 ratings
  • (2)
  • (0)
  • (0)
  • (0)
  • (0)

Filter reviews by:

Haitao Xin

Lei and his team have been working with the engineering team closely, and all my engineers have very good feedback about him. First of all, his attitude is always positive and proactive, even though he is constantly overloaded. Second, he is a fast learner--his knowledge of our products and technology is way better than most employees, even those who joined the company years prior to him. As in most startups, nobody had time to sit down and teach him piece by piece. He learned mostly things by himself. Third, his job is largely customer-facing, and he can always make the (even unhappy) customer happy (again). We are absolutely lucky to have him on our team!

tianqi Zhou

lei is very good student in UO

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • United States
    • Financial Services
    • 1 - 100 Employee
    • Merchant Tech Lead
      • Jul 2022 - Present

    • Merchant Tech Engineer
      • Nov 2019 - Jul 2022

      Provide weekly analysis and algorithms by using transaction data to indicate 5000+ merchants with 8 vendors' status in US and Canada who are inactive, dormant, or under risk to increase the transaction volume and avoid potential loss of purchasing volume.Provide YoY, YTD, and monthly analysis for key account clients such as Nordstrom and LVMH.Generate heatmap with 5000+ merchants in US and Canada to indicate the density of purchasing power in each area and provide list of selected merchants location, forecasting, and analysis for new clients.Manage payment API integration project and evaluate partners integration by verifying pre-auth flow and post-auth flow and debugging the API process under UAT environment. Show less

    • Data Science Intern
      • Oct 2019 - Nov 2019

      Build a standard process to integrate multiple data platforms, clean and organize CRM and transaction data using Python, SQL and ExcelGenerate coordination and heatmaps of 19 major North American trade areas in Python (geopy, seaborn) to unveil the engagement density of vendors, help the business create and optimize strategic distribution, sales and marketing goals

    • TITANIC SURVICIAL ANALYSIS IN MACHINE LEARNING
      • May 2019 - Jul 2019

      Developed algorithm to predict survival status for passengers in Titanic in Python Conducted analysis on raw data for summarizing of main characteristics using SQL and data visualization tools Processed dataset by data cleaning, categorical feature transformation and feature creation Trained supervised learning models including Random Forest, Logistic Regression, KNN and tuned hyperoperators to reduce overfitting and minimize error rates Evaluated model performance of classification by cross validation, F1 score and confusion matrix Show less

    • United States
    • Higher Education
    • 1 - 100 Employee
    • TA
      • Sep 2017 - May 2019

      Collaborated with professors to prepare materials for courses, improve student participation and achieve academic success in weekly meeting Provided assistance on assignments and projects to students in advanced Math courses (Abstract Algebra) Gave informative feedbacks on homework in timely manner and responded to questions regularly Collaborated with professors to prepare materials for courses, improve student participation and achieve academic success in weekly meeting Provided assistance on assignments and projects to students in advanced Math courses (Abstract Algebra) Gave informative feedbacks on homework in timely manner and responded to questions regularly

    • Volunteer
      • Aug 2018 - Aug 2018

      Conducted analysis on business industry and offered strategic and implementable solutions to help clients mitigate business risks Researched and collected data through various approaches and applied SWOT analysis to identity key factors concerning specific business competition Presented complete analysis and solutions for clients in detailed and effective ways Conducted analysis on business industry and offered strategic and implementable solutions to help clients mitigate business risks Researched and collected data through various approaches and applied SWOT analysis to identity key factors concerning specific business competition Presented complete analysis and solutions for clients in detailed and effective ways

    • United States
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant
      • Sep 2016 - Mar 2017

    • China
    • Capital Markets
    • 1 - 100 Employee
    • Intern
      • Aug 2013 - Oct 2013

      Drafted data-driven reports on real estate analysis to evaluate risks of investment Collected historical data of real estate transactions and trading policies via different sources and cleaned data in spreadsheet Constructed models to estimate potential risks of investment and performed data analysis on model outputs by targeting main causes of risks, then provided justification Provided optimal solution for investors based on integrated information from different aspects to achieve the target Show less

Education

  • New York University
    Master of Science - MS, Mathematics
    2017 - 2019
  • University of Oregon
    Bachelor of Science - BS, Mathematics
    2015 - 2017
  • University of Oregon
    Bachelor's Degree, Economics
    2009 - 2015
  • Affiliated High School of Peking University
    High School, A-
    2006 - 2009
  • High School attached to Tsinghua University
    A
    2003 - 2006

Community

You need to have a working account to view this content. Click here to join now