Resume
Work
Experience
Jun 2022 - Aug 2022
Data Analytics Intern
Spark Therapeutics
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Developed data analytics and visualization using SAS and Spotfire to track KPIs for clinical trial flow in compliance with FDA regulations.
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Created advanced and scalable Spotfire dashboard solutions with the ability to drill down and dynamic filters to optimize the onboarding process for product strategy users across portfolios, reducing average time-to-onboard by 40%.
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Built automated data pipeline using SAS to support business decisions.
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Worked with cross-functional teams to gather and translate stakeholders' requirements into KPIs and tech specs, driving analytics adoptions.
Jan 2022 - April 2022
NLP Data Scientist Intern
Claudius Legal Intelligence
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Supported developing the legal artificial intelligence platform using natural language
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processing (NLP) models with Python.
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Automated linguistic feature processing (named entity extraction, POS tagging, tokenization, lemmatization, entity linking) using spaCy on over 8K legal cases, reducing processing time by 10%.
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Utilized classification ML models to predict sentiments and polarity of tweets corpus referencing Asian hate crimes.
Sep 2021 - Dec 2021
Data Scientist Consultant
Drexel University College of Business & PricewaterhouseCoopers(PWC)
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Collaborated with PwC to predict COVID-19 social impact and trends using Python.
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Developed K-Means clustering models to identify the most impacted segmentations during the pandemic from over 88K observations.
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Applied Random Forest/XGBoost ML model and SHAP values to identify the most critical drivers for vaccination intent, reaching around 79% accuracy.
Jun 2021 - Aug 2021
Data Analytics Consultant
LeBow College of Business & Yellow Dig(Online learning platform)
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Collaborated with business partner "Yellow Dig" to identify key decision points for optimal community engagement within the platform.
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Implemented predictive models in Python to identify success factors of desired outcomes (revenue generation, customer satisfaction). Built classification ML models to segment partners based on interactivity patterns and usage, achieving 87% accuracy.
Jun 2021 - Aug 2021
Biostatistics Data Research Scholar
Drexel University College of Medicine
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Consulted the Medical School students to provide a reliable and easy-to-use data
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analytics toolset to enable hypothesis testing. Synthesized and visualized critical experiment results in the PowerBI dashboard for a medical conference.
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Applied statistical techniques (binomial regression, T-test, variance) in R to perform deep-dive data analysis on large-scale medical datasets. Translated medical questions into statistical requirements and document processes.
May 2016 - May 2017
Co-Founder of Food Delivery App
JinDouYun
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Co-founded a food delivery app from the ground up, covering the greater Philadelphi Area. Led app software development using Agile DevOps with IT team, built business partnerships, and managed operations serving a 500+ DAU base.
Education
2020 - Now
Drexel University
Master of Science Degree
Major: Business Analysis and Data Science Double Major
Honors: LeBow Alumni Merit Scholarship
GPA: 3.8
2014 - 2018
Temple University
Bachelor's Degree
Major: Accounting
Skills
& Expertise
Programming & BI: Python (NumPy, Pandas, SciKit Learn, Matplotlib), R, SQL (MySQL), Excel (Advanced), Tableau
Machine Learning: Linear/Logistic Regression, Classification, Clustering, Deep Learning, PCA, Time Series (ARIMA, HoltWinters, SES), NLP (Sentiment Analytics), Tree-based model (Decision Tree, Random Forest)
Productivity: Agile Software DevOps, Scrum Framework, SDLC, MSFT Office Suite
Big Data: Google Cloud, AWS, Spark, ETL Languages: English, Chinese