I am a recent graduate of the Applied Analytics program at Columbia University. I have a deep-seated curiosity and a strong desire to learn, which drives me to constantly question and explore the world through data analysis. I have a natural talent for working with data, and my passion for uncovering hidden insights and stories within data is unwavering.As a recent graduate, I bring a fresh perspective and a wealth of knowledge from my studies and hands-on experience in data analysis. I am proficient in a range of data analytics tools and techniques, and I am eager to apply my skills to real-world challenges. I believe that data has the power to drive meaningful change and I am passionate about using my skills to help organizations construct groundbreaking solutions.I am excited about the opportunity to bring my passion and skills to your organization and contribute to its growth and impact through data analysis. I am eager to learn from my colleagues and grow as a professional in your field.
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Capstone: Data Science ConsultingMarriott International Sep 2022 - Dec 2022Bethesda, Md, Us- Proposed customer development plans by identifying valuable customers under each product category- Conducted customer & product analysis based on 20 years of customer transaction data via AWS Sagemaker- Predicted customer lifetime values in the next 180 days by implementing the Autogluon framework for modeling; best models achieved 27 RMSE for the hotel product sector and 94 RMSE for the card product sector- Delivered data insights by designing a web dashboard using Python Streamlit and AWS Lambda, Gateway -
Data AnalystAccenture Aug 2020 - Oct 2020Dublin 2, Ie- Reduced bank credit risk by building a loan default detection model with a 35% lift over the previous practice- Processed data and created 81 additional features from the original 78 features based on the R-F-M principle- Developed an XGBoost model (0.86 AUC) based on original and aggregated features using Python H2O.ai- Made the ML pipeline accessible in real-time to the Tableau platform using Python TabPy; shaped lending decision-making at the C-Suite level by presenting data insights using Tableau visualization dashboards -
Data Analyst AssistantAnbang Insurance Group Jun 2019 - Aug 2019Cn- Doubled order issue processing efficiency in three insurance categories by improving the data service platform - Exacted data from multiple company systems using SQL and conducted data validation and cleaning on Python- Created data labels for customer order issue complaints by conducting keywords extraction and topic modeling
Zhenwei (Shaw) Wei Education Details
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Columbia UniversityApplied Analytics -
University Of VermontEconometrics And Quantitative Economics
Frequently Asked Questions about Zhenwei (Shaw) Wei
What is Zhenwei (Shaw) Wei's role at the current company?
Zhenwei (Shaw) Wei's current role is MS Graduate at Columbia University | Data Analyst, Data Scientist | Python, R, SQL.
What schools did Zhenwei (Shaw) Wei attend?
Zhenwei (Shaw) Wei attended Columbia University, University Of Vermont.
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