Bruce Zihan Wen
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Bruce Zihan Wen Email & Phone Number

Data Scientist at BCG X
Location: Cambridge, Massachusetts, United States 7 work roles 3 schools
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Current company
Role
Data Scientist
Location
Cambridge, Massachusetts, United States
Company size

Who is Bruce Zihan Wen? Overview

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Quick answer

Bruce Zihan Wen is listed as Data Scientist at BCG X, a company with 16 employees, based in Cambridge, Massachusetts, United States. AeroLeads shows a matched LinkedIn profile for Bruce Zihan Wen.

Bruce Zihan Wen previously worked as Data Scientist at Mobi.Ai and Data Science Intern at Intuitive. Bruce Zihan Wen holds Master Of Science - Ms, Data Science from Harvard University.

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Email format at BCG X

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BCG X

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Profile bio

About Bruce Zihan Wen

I have a strong academic background in data science, with a Bachelor of Arts degree in Economics (Honors) from New York University and a Master of Science degree in Data Science from Harvard University. I recently completed a data science internship at Intuitive, a leading company in the field of robotic-assisted surgery, where I applied my skills in machine learning, feature engineering, and statistical testing to analyze user behavior and retention patterns in their mobile app.

Current workplace

Bruce Zihan Wen's current company

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BCG X
Bcg X
Data Scientist
San Francisco, CA, US
Website
Employees
16
AeroLeads page
7 roles

Bruce Zihan Wen work experience

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

Data Scientist

San Francisco, CA, US

Data Scientist

Current

Cambridge, Massachusetts, United States

Jan 2024 - Present

Data Science Intern

Sunnyvale, California, United States

- Leveraged hierarchical clustering and feature pruning to recursively partition 30K users with similar click patterns in My Intuitive App; Identified patterns associated with higher retention- Performed feature engineering with SQL and pandas, transforming 14 million action events in Snowflake to clickstreams; Tackled sparsity by utilizing n-grams feature.

May 2023 - Aug 2023

Undergraduate Researcher

New York, United States

  • Honors Thesis: “Re-examine the RAND HIE with Causal Inference”
  • Applied Principal Component Analysis, Silhouette Algorithm, and K-Means Clustering method to stratify 26,148 participants in the RAND Health Insurance Experiment based on demographic and socioeconomic characteristics
  • Utilized matching method to construct an unbiased, consistent, and interpretable estimator of causal effect of insurance assignment on healthcare demand for each stratum
Sep 2021 - Aug 2022

Teaching Assistant

New York, United States

  • Co-founded a volunteer tutoring group for Introduction to Data Science at NYU to help students understand the basics and know-how of Data Science and Statistics
  • Mentored and tutored students with coding, understanding course materials, and solving homework problems
Jun 2021 - Dec 2021

Visiting Undergraduate Researcher

Abu Dhabi, United Arab Emirates

  • Worked in the recently established Transition Investment Lab (TIL) at NYUAD under the supervision of Professor Bernardo Bortolotti.
  • Support the Lab research focusing on the following areas: Institutional ESG investment strategies and policies, Impact measurement of TI, Risk-return- impact analysis, Data collection, and empirical analyses on TI in.
  • Classified transactions into different ESG categories based on IRIS+ Category by gathering transactional data on major sovereign wealth funds using Pitchbook, S&P Capital IQ, and Factiva
  • Performed exploratory data analysis to generate insights into impact investment by sovereign wealth funds
  • Published how sovereign wealth funds cope with the COVID-19 Pandemic and created data visualizations for research paper "The Long and Winding Road: Tracking Sovereign Wealth Fund's ESG Investing”
Jun 2021 - Dec 2021

Research Assistant

New York, United States

Work supervised by Professor David Cesarini. Analyzed a part of a dataset containing 4,840 observations by using statistical tools in R and created data visualizations with R and LaTeX for working papers

Jan 2021 - May 2021
Team & coworkers

Colleagues at BCG X

Other employees you can reach at takemobi.com. View company contacts for 16 employees →

3 education records

Bruce Zihan Wen education

Master Of Science - Ms, Data Science

Teaching Fellow for CS209A Courses: Advanced Topics in Data Science, MLOps, Reinforcement Learning, Statistics

Bachelor Of Arts - Ba, Economics (Honors)

Activities and Societies: Latin Honors: Summa Cum Laude Phi Beta Kappa, Presidential Honors Scholar, Recipient of the Murray Altman Prize.

FAQ

Frequently asked questions about Bruce Zihan Wen

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

What company does Bruce Zihan Wen work for?

Bruce Zihan Wen works for BCG X.

What is Bruce Zihan Wen's role at BCG X?

Bruce Zihan Wen is listed as Data Scientist at BCG X.

Where is Bruce Zihan Wen based?

Bruce Zihan Wen is based in Cambridge, Massachusetts, United States while working with BCG X.

What companies has Bruce Zihan Wen worked for?

Bruce Zihan Wen has worked for Bcg X, Mobi.Ai, Intuitive, and New York University.

Who are Bruce Zihan Wen's colleagues at BCG X?

Bruce Zihan Wen's colleagues at BCG X include Mohamed Elsemary, Rafael Diaz, Isabella Roden, Sudip Patra, and Sean Ferguson.

How can I contact Bruce Zihan Wen?

You can use AeroLeads to view verified contact signals for Bruce Zihan Wen at BCG X, including work email, phone, and LinkedIn data when available.

What schools did Bruce Zihan Wen attend?

Bruce Zihan Wen holds Master Of Science - Ms, Data Science from Harvard University.

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