Haipeng Liu

Haipeng Liu Email and Phone Number

Columbia Student @ Columbia University
Haipeng Liu's Location
New York, United States, United States
About Haipeng Liu

Competency-BasedBusiness manager in logistics and distribution with extensive experience in supply chain, operations, and logistics worldwide. I improve client happiness while optimizing transportation, cold chain management, and cost reduction in my role as business manager at Shanghai Port Container Co., Ltd. My Tableau dashboards resulted in a 20% increase in delivery performance. During internships, I also developed risk management frameworks and statistical models for bond fund research, utilizing machine learning approaches to bolster my experience in financial data analysis and logistics. ->Business IntelligenceI manage business operations at Shanghai Port Container Co., Ltd., where I have overseen important projects involving the importation of apparel, frozen meats, and beef. Using a genetic algorithm, I created a VRPSDP model that optimized the scheduling of forty refrigerated trucks while lowering expenses and increasing transportation efficiency. The cargo waiting times at the port have been reduced by 15% thanks to my predictive data analytics. In order to reduce lead times and import prices for clothes, I also extracted and evaluated historical data. ->Information TechnologyI also created Tableau dashboards to track delivery performance, which resulted in a 20% increase in customer satisfaction. ->StatisticsI developed statistical models for bond fund research, mined alpha components for a fund using cutting-edge machine learning techniques, and constructed risk management frameworks during my internships at Kaiyuan Securities, Guotai Jun'an, and Fubon Bank.

Haipeng Liu's Current Company Details
Columbia University

Columbia University

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Columbia Student
Haipeng Liu Work Experience Details
  • Columbia University
    Graduate Student
    Columbia University Aug 2024 - Present
    Business analytics
  • Shanghai Port Container Co., Ltd
    Business Manager
    Shanghai Port Container Co., Ltd Jun 2021 - Present
    Project A: Import of beef and other frozen meat products.Collaborated with team to create an enhanced VRPSDP model for track routing in urban environments, improving transportation efficiency and simplified overall cost; implemented a genetic algorithm to solve model.Optimized scheduling of 40 refrigerated trucks using Excel to assure timely delivery of cold chain products.Developed predictive data analytics to adjust transportation plans, decreasing cargo waiting time at port by an average of 15%.Liaised with Shanghai Customs to maintain compliance with all regulations and expedited clearing of cross-border cargo.Project B: Import of clothing products.Extracted and analyzed historical transportation data from SQL databases to modify routing of 30 trucks transporting fragile goods between port and warehouses, decreasing average lead time by 3 hours and overall costs by ~11%.Utilized Tableau BI to create dashboards for monitoring delivery performance metrics.Coordinated with domestic and global suppliers and customers through virtual conferences to track shipments, adjust transportation plans, and expedite orders when necessary, revising customer satisfaction by over 20%.Reengineered working process by creating 3-people groups with regional responsibility, saving 80 men-hours a week.
  • Kaiyuan Securities Research Institute
    Quantitative Research Intern
    Kaiyuan Securities Research Institute May 2023 - Jul 2023
    Created statistical models to calculate durations of bond-only funds in market, taking lead in bond fund related data cleansing, sample fund selection and associated regression analysis; utilized metrics such as median and divergence of duration to approve model accuracy.Employed stepwise regression to address multicollinearity in model construction; introduced additional constraints to maintain estimated coefficients, aligning with regulatory requirements (prohibition of short-selling mechanisms) in the China bond market.Demonstrated a negative correlation between median duration of market-wide bond-only funds and 10-year government bond yield, aligning well with theoretical analysis.
  • Guotai Jun'An Asset Management
    Quantitative Analyst Intern
    Guotai Jun'An Asset Management Mar 2023 - May 2023
    Mined alpha factors for a 130 million RMB fund using neural networks (LSTM), XGBoost, and Genetic Algorithm.Informed new alpha factors into existing strategy using hierarchical clustering and Fama-Macbeth Regression.Implemented new strategy, achieving a stable projected return of 15% above benchmark (CSI Smallcap 500 Index).Performed return attributions and established risk models based on Barra Risk Models for a 4 billion RMB fund.
  • Fubon Bank
    Data Analyst Intern
    Fubon Bank Dec 2022 - Feb 2023
    Collaborated with the IT department on developing an internal data warehouse capable of 1) default risk prediction concerning money laundering and credit card fraud, 2) risk management of assets and loss forecast, and 3) customer profiling concerning credit scoring, acquisition, retention, and personalized services.Created a workflow for collecting and pre-processing relevant data, covering front desk, consumer transactions, social media platforms, and websites; automated data cleaning by leveraging a suite of data mining algorithms; modified relational and distributed database systems for efficient data storage and I/O.

Haipeng Liu Education Details

  • University Of California, Santa Barbara (Ucsb)
    University Of California, Santa Barbara (Ucsb)
    Mathematics & Statistics Data Science
  • Columbia University
    Columbia University
    Mathematics & Statistics Data Science

Frequently Asked Questions about Haipeng Liu

What company does Haipeng Liu work for?

Haipeng Liu works for Columbia University

What is Haipeng Liu's role at the current company?

Haipeng Liu's current role is Columbia Student.

What schools did Haipeng Liu attend?

Haipeng Liu attended University Of California, Santa Barbara (Ucsb), Columbia University.

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