Open to opportunities

WENQI CHEN

@wenqichen

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Data analyst with expertise in machine learning and data visualization.

United States

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What I'm looking for

I seek a role that fosters growth, encourages innovation, and values data-driven decision-making.

I'm Lindsey (Wenqi) Chen, a dedicated data analyst with over a year of experience in research and technology. My academic journey includes a Master of Science in Engineering with a focus on Data Science from the University of Pennsylvania and a Bachelor of Science in Statistics from the University of Wisconsin – Madison, where I graduated with a perfect GPA of 4.0. I thrive on solving complex analytical problems using advanced data techniques and machine learning models.

In my previous roles, I have developed and maintained Google Analytics dashboards, conducted user activity research, and built automated ETL data pipelines. My work has led to significant improvements in app sign-ups and program enrollment, showcasing my ability to leverage data for impactful decision-making. I am passionate about utilizing my technical skills in Python, R, SQL, and various cloud services to drive data-driven strategies and enhance operational efficiency.

Experience

Work history, roles, and key accomplishments

Assistant Research Analyst

Informatics Skunkworks

May 2022 - Dec 2022 (7 months)

Segmented CT images of kidney tumors using MATLAB and Python. Trained convolutional neural network (CNN) models in PyTorch to enhance image classification and assess tumor grade.

Matlab Python PyTorch Classification

Data Analyst

Demic App

May 2022 - Dec 2022 (7 months)

Developed and maintained Google Analytics dashboards to track and visualize key metrics. Conducted user activity research, identifying opportunities to increase app sign-ups by 55% through improved targeting strategies. Supported data-driven decision-making by presenting analytical insights to the business team.

Google Analytics Data Visualization Python Data Insights

Assistant Research Analyst

Center for Healthy Minds

Aug 2021 - Dec 2022 (1 year 4 months)

Performed data cleaning and transformation on participant data using Python and R, improving data quality for analysis. Analyzed labeled ECG data and implemented standardization techniques using R to enhance data consistency, resulting in a 10% increase in input accuracies.

Data Cleaning Python R Data Analysis

Program Coordinator/Analyst

GUTS

Aug 2021 - Dec 2022 (1 year 4 months)

Built and automated an ETL data pipeline using Python and Google Colab, streamlining data processing workflows and reducing task completion time by over 50%. Developed outreach marketing strategies that resulted in a 90% increase in program enrollment and a 45% reduction in costs.

ETL Python Google Colab Data Processing Marketing Strategy