Lash Tan
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Lash Tan Email & Phone Number

Quantitative UX Researcher | Data Scientist | Data Analyst | M.A., QMSS '23 @ Columbia University at Mozilla
Location: New York, New York, United States 4 work roles 2 schools
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Current company
Mozilla
Role
Quantitative UX Researcher | Data Scientist | Data Analyst | M.A., QMSS '23 @ Columbia University
Location
New York, New York, United States
Company size
1641 employees

Who is Lash Tan? Overview

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Quick answer

Lash Tan is listed as Quantitative UX Researcher | Data Scientist | Data Analyst | M.A., QMSS '23 @ Columbia University at Mozilla, a company with 1641 employees, based in New York, New York, United States. AeroLeads shows a matched LinkedIn profile for Lash Tan.

Lash Tan previously worked as Quantitative User Researcher at Mozilla and Quantitative UX Research Assistant at Google Via Adecco. Lash Tan holds Master Of Arts - Ma, Quantitative Methods In The Social Sciences from Columbia University Graduate School Of Arts And Sciences.

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Mozilla

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Profile bio

About Lash Tan

Determined and self-motivated data scientist with 2+ years of experience in data and analytics. Proven history of working in cross-functional and fast-pace environments to help inform decisions through data-driven insights.

Listed skills include R, Statistical Modeling, Data Mining, Statistics, and 4 others.

Current workplace

Lash Tan's current company

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Mozilla
Mozilla
Quantitative UX Researcher | Data Scientist | Data Analyst | M.A., QMSS '23 @ Columbia University
mountain view, california, united states
Website
mozilla.org
Employees
1641
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4 roles · 18 years

Lash Tan work experience

A career timeline built from the work history available for this profile.

Quantitative User Researcher

Current
Mozilla

New York, United States

Apr 2024 - Present

Quantitative Ux Research Assistant

Google Via Adecco

Sunnyvale, CA

  • Led major analysis segments of a large-scale longitudinal study (10,000+ participants, 104 products) using advanced data science techniques, significantly impacting organizational strategies and guiding the strategic.
  • Committed to fueling meaningful improvements in user experience by partnering with researchers to shape the design of impactful UX studies and surveys, ensuring the alignment of data collection with user-centric goals.
  • Developed key usage and performance metrics dashboards with SQL, serving as critical tools for executives and leaders to monitor product growth and user engagement amid the heightened demand during the pandemic.
Jan 2020 - Mar 2021

Ux Analyst

Google Via Adecco

Sunnyvale, California, United States

  • Demonstrated efficiency and accuracy in applying data science methodologies by supporting 6-10 ongoing UX research studies, providing cross-functional teams with actionable insights from user behaviors.
  • Collaborated to effectively present and communicate findings to stakeholders across the organization, driving informed product strategies and facilitating key decision-making.
Mar 2019 - Jan 2020

Systems Administration Consultant

Dt Professional Systems

Los Angeles, California, United States

  • Led comprehensive IT modernization initiatives for 30+ small to mid-sized businesses, identifying optimization opportunities and implementing tailored solutions to drive sustainable growth.
  • Delivered comprehensive training and technical support to over 400 end-users, adapting to various skill levels to ensure effective adoption of new systems and efficient issue resolution.
2008 - 2015 ~7 yrs
Team & coworkers

Colleagues at Mozilla

Other employees you can reach at mozilla.org. View company contacts for 1641 employees →

AB Aman Bajpai Aman Bajpai Colleague at Mozilla Lucknow, Uttar Pradesh, India, India View → KA Khadisha Ariel Walker Khadisha Ariel Walker Colleague at Mozilla Los Angeles, California, United States, United States View → KS Kimberly Sereduck Kimberly Sereduck Colleague at Mozilla Durango, Colorado, United States, United States View → JR Joseph Rahme Joseph Rahme Colleague at Mozilla Miami, Florida, United States, United States View → BH Ben Hearsum Ben Hearsum Colleague at Mozilla Richmond Hill, Ontario, Canada, Canada View → DW D'Andre Walker D'Andre Walker Colleague at Mozilla Atlanta, Georgia, United States, United States View → SA Steven Azeka Steven Azeka Colleague at Mozilla New York, New York, United States, United States View → LS Lee Salzman Lee Salzman Colleague at Mozilla Greater Boston, United States View → OS Oksana Salamaszek Oksana Salamaszek Colleague at Mozilla Toronto, Ontario, Canada, Canada View → JC Jason Crowe Jason Crowe Colleague at Mozilla Happy Valley, Oregon, United States, United States View →
2 education records

Lash Tan education

Bachelor Of Science - Bs, Statistics

Uc Santa Barbara

Activities and Societies: Member - Data Science ClubDean’s Honors List: Spring 2017, Fall 2017, Winter 2018, Spring 2018 Coursework.

FAQ

Frequently asked questions about Lash Tan

Quick answers generated from the profile data available on this page.

What company does Lash Tan work for?

Lash Tan works for Mozilla.

What is Lash Tan's role at Mozilla?

Lash Tan is listed as Quantitative UX Researcher | Data Scientist | Data Analyst | M.A., QMSS '23 @ Columbia University at Mozilla.

Where is Lash Tan based?

Lash Tan is based in New York, New York, United States while working with Mozilla.

What companies has Lash Tan worked for?

Lash Tan has worked for Mozilla, Google Via Adecco, and Dt Professional Systems.

Who are Lash Tan's colleagues at Mozilla?

Lash Tan's colleagues at Mozilla include Aman Bajpai, Khadisha Ariel Walker, Kimberly Sereduck, Joseph Rahme, and Ben Hearsum.

How can I contact Lash Tan?

You can use AeroLeads to view verified contact signals for Lash Tan at Mozilla, including work email, phone, and LinkedIn data when available.

What schools did Lash Tan attend?

Lash Tan holds Master Of Arts - Ma, Quantitative Methods In The Social Sciences from Columbia University Graduate School Of Arts And Sciences.

What skills is Lash Tan known for?

Lash Tan is listed with skills including R, Statistical Modeling, Data Mining, Statistics, Data Science, Programming, Python, and Regression Analysis.

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