Lance Zeng Email & Phone Number | I am a data analyst, aspiring data scientist, with 4+ years of experience delivering timely, reliable financial products through rigorous data analysis. As a former CPA, and operations analyst for financial institutions, I built reliable, dynamic data templates and redesigned workflows to assure data quality and drive operational efficiency. I returned to school to revamp my technical skills, completing my Masters of Engineering in Operations Research from UC Berkeley, with a focus on analytics and machine learning. During the program, I worked with team of data scientists, using AWS-powered Python to build the foundation and data pipeline for the natural language processing of Beam's financial compliance software. In my courses, I collaborated with peers developing multiple end-to-end data-focused applications including a travel recommendation engine and a medical records database. Our agile, rapid-development process included visualization of performance analytics, predictive modeling and deployment. Along the way, I picked up skills in web development and development operations: Flask, Django, HTML Bootstrap, JavaScript and Docker. I am currently rounding-out relevant data skills: tackling Tableau visualization challenges, writing a blog on experimental design and statistics, and brainstorming/developing ideas for ML-driven web applications leveraging Python's ML stack and Django. To learn more about what I'm currently working on please visit: https://lancezeng.me/ Please contact me at lancezeng@berkeley.edu to find out how I can contribute to your organization. Technical Skills: - Languages & Frameworks: SQL, Python (Pandas, NumPy, Sci-kit Learn, TensorFlow), R, Git, Docker - Machine Learning: Regression, Classification, Random Forest, Boosting, SVM - Visualization: Matplotlib, Tableau - Experimental Design: A/B testing, Statistical Inference

Lance Zeng

I am a data analyst, aspiring data scientist, with 4+ years of experience delivering timely, reliabl...
San Francisco, California, United States

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Lance Zeng’s Email lzeng@tesla.com

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Lance Zeng’s Location San Francisco, California, United States

Lance Zeng’s Current Industry Tesla

Lance Zeng’s Prior Industry Beam Solutions | Route One Investment | Ey | Voyager Consulting | Uc Berkeley

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Work Experience

Tesla

Staff Data Analyst

2023-05-01 00:00:00 - Present

Beam Solutions

Data Scientist Intern

2019-08-01 00:00:00 - 2020-05-01 00:00:00

Route One Investment

Data Analyst | Fund Accountant

2017-07-01 00:00:00 - 2019-08-01 00:00:00

Ey

Senior Tax Analyst | Data Analyst

2016-10-01 00:00:00 - 2017-06-01 00:00:00

Voyager Consulting

Project Manager | Data Scientist

2012-09-01 00:00:00 - 2014-05-01 00:00:00

Uc Berkeley

Reader for Data Science Course

2012-09-01 00:00:00 - 2012-12-01 00:00:00

Skills

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Languages

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FAQ About Lance Zeng

Lance Zeng is located at
San Francisco, California, United States

Lance Zeng is a I am a data analyst, aspiring data scientist, with 4+ years of experience delivering timely, reliable financial products through rigorous data analysis. As a former CPA, and operations analyst for financial institutions, I built reliable, dynamic data templates and redesigned workflows to assure data quality and drive operational efficiency. I returned to school to revamp my technical skills, completing my Masters of Engineering in Operations Research from UC Berkeley, with a focus on analytics and machine learning. During the program, I worked with team of data scientists, using AWS-powered Python to build the foundation and data pipeline for the natural language processing of Beam's financial compliance software. In my courses, I collaborated with peers developing multiple end-to-end data-focused applications including a travel recommendation engine and a medical records database. Our agile, rapid-development process included visualization of performance analytics, predictive modeling and deployment. Along the way, I picked up skills in web development and development operations: Flask, Django, HTML Bootstrap, JavaScript and Docker. I am currently rounding-out relevant data skills: tackling Tableau visualization challenges, writing a blog on experimental design and statistics, and brainstorming/developing ideas for ML-driven web applications leveraging Python's ML stack and Django. To learn more about what I'm currently working on please visit: https://lancezeng.me/ Please contact me at lancezeng@berkeley.edu to find out how I can contribute to your organization. Technical Skills: - Languages & Frameworks: SQL, Python (Pandas, NumPy, Sci-kit Learn, TensorFlow), R, Git, Docker - Machine Learning: Regression, Classification, Random Forest, Boosting, SVM - Visualization: Matplotlib, Tableau - Experimental Design: A/B testing, Statistical Inference