See How Many Clients You're Missing Each Month

Simply enter your business email & Topline AI Agent will show you.

Bio

Generated by
Topline AI
Here is the polished third-person bio: Haiyan Ma is a seasoned product management expert with a proven track record of driving innovation and growth. As a Senior Product Manager at TravelPerk, she led the development of a unified taxonomy for the platform, resulting in significant cost savings and improved user experience. Her expertise spans multiple industries, including e-commerce, fintech, and software development. With a strong foundation in languages, including Chinese, English, French, Spanish, Portuguese, Catalan, and Russian, Haiyan excels in cross-cultural communication and collaboration. Her educational background includes a PhD in Physics from the University of Copenhagen and a Master's degree in Applied Physics from the Technical University of Delft.

Credentials

  • Intro to Self-Driving Cars
    Udacity
    Jun, 2018
    - Apr, 2026
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Oct, 2017
    - Apr, 2026
  • Neural Networks and Deep Learning
    Coursera
    Oct, 2017
    - Apr, 2026
  • Structuring Machine Learning Projects
    Coursera
    Oct, 2017
    - Apr, 2026
  • Advanced Competitive Strategy
    Coursera
    Sep, 2014
    - Apr, 2026
  • Understanding Europe: Why It Matters and What It Can Offer You
    Coursera
    Jul, 2014
    - Apr, 2026

Experience

  • TravelPerk
    • Barcelona, Catalonia, Spain
    • Senior Product Manager
      • Aug 2020 - Jul 2021
      • Barcelona, Catalonia, Spain

    • Türkiye
    • Software Development
    • 200 - 300 Employee
    • Senior Product Manager
      • Dec 2019 - Aug 2020

      Main problem solved: Lack of a unified, accurate and scalable taxonomy for the ecosystemAfter a tremendous combined effort by the front-end, back-end, user research and data science teams, listings are now classified by one single taxonomy (instead of inconsistent multiple systems) designed to match our key marketplace needs. We have dramatically upgraded the machine learning model to yield superior precision and recall. This serves as the corner stone towards building a high-performing search platform and also unlocks the future possibility of category verticalization. Impact:• The new in-house classification model is saving several millions of dollars per year, while providing better performance than the previous 3rd-party solution• The platform now has the ability to provide a much better in-depth search and filtering experience for buyers

    • Product Manager
      • Mar 2019 - Dec 2019

      Main problem solved: Low inventory completenessIn the past, posting speed was valued more than listing quality, therefore the steps to post a new item were designed to be quick and basic. This resulted in an incomplete and misclassified inventory where 40% of general listings were not classified into any category, and less than 5% of car listings contained critical info such as “body type” or “mileage”… In order to construct a quality inventory, which is the basis of the health of the letgo platform, we completely redesigned and optimized the posting flow for general goods and cars.Impact:• Listings without category reduced by a factor of 3• 60% improvement in listing completeness• Car listings attributes completeness skyrocketed from less than 5% to over 90%

    • Associate Product Manager
      • Nov 2018 - Mar 2019

      Main problem solved: Letgo platform perceived as outdated and ineffective due to high quantity of old listingsWe introduced a completely new listing management lifecycle in order to automatically retire old listings from the platform, or let sellers improve their quality if they still wished to sell them. Impact: • 15% increase in quality interactions between sellers and buyers• 40% increase in monthly unique sellers within 4 months

    • Senior iOS Developer
      • Mar 2018 - Nov 2018

  • ThoughtWorks
    • Barcelona, Catalonia, Spain
    • Software Consultant
      • Nov 2017 - Feb 2018
      • Barcelona, Catalonia, Spain

  • Pangea Reality
    • Barcelona Area, Spain
    • iOS Developer
      • Mar 2017 - Nov 2017
      • Barcelona Area, Spain

  • DenDen
    • Barcelona Area, Spain
    • iOS Lead
      • Jan 2016 - 2016
      • Barcelona Area, Spain

      Lead the development cycle of apps including: • Talk to Shops • An app aims to connect users to shop owners directly via instant messengering. It integrates geolocation, user (as well as shop owners) accounts and in-app instant messaging. It enables the user to talk directly with the shops found in the map.• Get on Maps • This app aims to help busy shop owners to claim and manage their map identity, and synchronize content across location services such as Google Maps, Apple Maps, Foursquare and Yelp. It integrates instant messaging, geolocation, user accounts and Google-Apple maps comparison.• 2 Apps for Restaurant Food Ordering and Pickup Service • Order food in a few clicks, jump the queue when picking it up and get personalised attention from restaurants via instant messaging. The restaurants we worked with had an average of 10% increase in revenue from the 1st month.

    • YieldStar Application and Business Support Engineer
      • 2014 - 2014

      I was one of the lead engineers supporting ASML’s new metrology solution “YieldStar Critical Dimension Inspection”. In the new product introduction phase, I have educated ASML onsite engineers about the new product and planned the product rollout strategy.When our customers faced problems going beyond the solving power of ASML onsite engineers, I provided solutions by leveraging both my powers of investigation and my network of contacts.

    • PhD Fellow
      • Sep 2010 - Dec 2013
      • Copenhagen Area, Denmark

      PhD thesis : Thermo-plasmonics of irradiated metallic nanostructuresThermo-plasmonics is an emerging field in photonics which aims at harnessing the kinetic energy of light to generate nanoscopic sources of heat. During my PhD (lasting three years), I have investigated novel experimental and numerical tools in characterising thermo-plasmonic devices in a biologically relevant environment, as well as explored the thermodiffusion properties and measured thermophoretic forces for particles in temperature gradients ranging from 1-100 K/μm at the single-particle level.

  • ICFO
    • Barcelona Area, Spain
    • Visiting Scientist
      • Jan 2012 - Apr 2012
      • Barcelona Area, Spain

      Directional in-coupling of light by waveguide hybridized aluminum Yagi-Uda antennasI performed theoretical studies on the scattering properties of aluminum Yagi-Uda antennas placed on dielectric silicon nitride waveguides. Lumerical's FDTD simulation tools were used to design and optimise the geometries of individual Yagi-Uda antenna elements in order to achieve directional in-coupling of light into waveguides.

  • TU Delft and Philips
    • Eindhoven Area, Netherlands
    • Research Assistant
      • Sep 2009 - Aug 2010
      • Eindhoven Area, Netherlands

      I have investigated laser speckle contrast techniques theoretically and experimentally. An experimental setup to monitor the heartbeat rate and estimate perfusion of a finger tip with a CCD camera was built from scratch and images were processed using Matlab.

    • Trainee - Master thesis project
      • 2008 - 2009

      Master thesis : Compact collimators for high-brightness blue LEDs using dielectric multilayersMultilayer filters were designed to couple light from high power red, blue and green LEDs into a thin lightguide from its back. Advance system analysis program (ASAP) was used to design and optimize the geometry of lightguides so that a good collimation of light could be achieved. A 1mm thin collimator based on our design was fabricated and characterized in the lab.

    • Trainee
      • May 2008 - Jul 2008
      • Paris Area, France

      3-month internship on "Phase shifting interferometry" at Laboratoire Charles Fabry de l’Institut d’Optique, CNRS, France.The project was to develop a robust image processing algorithm in Fortran language for the metrology of large optics components using phase shifting interferometry. Experiments were also done to verify this algorithm.

Education

  • 2010 - 2013
    Københavns Universitet
    Doctor of Philosophy (PhD), Physics/Nanoscience
  • 2008 - 2009
    Technische Universiteit Delft
    Master of Science (MSc), Applied Physics
  • 2007 - 2008
    Institut d'Optique
    Master of Science in Optics, Matter and Plasma, Optics/Optical Sciences
  • 2003 - 2007
    Harbin Institute of Technology
    Bachelor of Science (BS), Optical Information in Science and Technology

Suggested Services

This profile is unclaimed. These are suggested service rates with 0% commision upon successful connection

Industry Focus. “Technology, Information and Internet”

Looking to Create a Custom Project?

Need a custom project? We'll create a solution designed specifically for your project.

Get Started

References

Community

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

Similar Profiles