Zeyu Wang
Edison,New Jersey
Summary
Highly skilled data scientist and machine learning engineer with a Master of Science in Artificial Intelligence and expertise in developing models, analyzing data, and automating processes. Experienced in Python, Machine Learning, Java, and SQL, as well as cloud platforms such as AWS SageMaker and Google Cloud Platform. Skilled in regression, classification, clustering, NLP, object detection, and deep learning using tools such as TensorFlow, Scikit-learn, Pandas, Spark, Airflow, NumPy, Matplotlib, Alteryx, and DataRobot. Proven ability to drive significant improvements in business performance.
Overview
5
5
years of professional experience
Work History
Machine Learning Engineer
AIREA Real Estate
09.2022 - Current
- Developed Python-based social media auto-ad robot, resulting in 50% increase in company social media page views
- Utilized Scrapy to gather and analyze apartment asset data from multiple sources, enhancing investment strategies through market trend identification
- Built automated data pipeline with GCP Fusion for collecting and visualizing apartment asset data, increasing efficiency of data science team by 40%
- Developed ML model for predicting suitable apartment assets for target customers, achieving 20% increase in customer match satisfaction and 15% boost in client profits
- Created Docker Image and deployed it on Google Kubernetes Engine, exposing service as API.
Machine Learning Engineer(Internship)
Albert Einstein College Of Medicine
01.2022 - 05.2022
- Explored ADNI Website, extracting 1.5TB patient data for Alzheimer's disease research at Albert Einstein College of Medicine
- Conducted extensive preprocessing of 3D and 2D image datasets, ensuring data quality and accurate predictions using TensorFlow models
- Developed user-friendly Django website on Google Cloud Compute Engine, deploying TensorFlow model for accessible Alzheimer's disease prediction.
Machine Learning Engineer(Internship)
S&P Global
05.2021 - 08.2021
- Contributed to a confidential project at S&P Global, utilizing time series analysis and climate change risk analysis to inform future business strategies
- Developed Python web crawler in GitLab for data collection and cleaning, and utilized Matplotlib to generate insightful visualizations
- Applied Facebook Prophet for time series analysis, uncovering crucial trends and patterns to drive informed decision-making
- Employed linear regression and nonparametric regression techniques to predict loss and guide investment strategies
- Created pioneering visualizations showcasing impact of climate change on assets, providing valuable insights into potential risks and opportunities for different types of investments
- Demonstrated proficiency in quantifying impact, leveraging data analysis to identify important trends and patterns within large datasets, ultimately enhancing investment decision-making processes.
Machine Learning Engineer
Limingjia Toys Co., Ltd
12.2019 - 12.2020
- Analyzed market data to optimize product selection, resulting in 20% profit increase
- Employed cost data analysis for 20% annual expense reduction, enhancing cost control
- Developed profitable KNN model for toy selection
- Demonstrated strong problem-solving skills, improving profits and cost management
- Utilized data analysis tools to drive successful business outcomes.
Machine Learning Engineer
Meizhou Longsheng Eco-tourism Resort Co., Ltd
01.2019 - 12.2019
- Analyzed tourist data from agents, optimizing departmental workflows and achieving remarkable 30% increase in efficiency
- Leveraged data analysis to compare company product prices with market prices, resulting in 20% boost in sales through effective pricing strategies
- Collaborated with team members to analyze revenue data for each department, leading to development of monthly plans and significant 15% increase in profits
- Drove company's overall revenue growth by 40% through data analysis and
- Strategic decision-making
- Exhibited strong teamwork skills by collaborating with multiple departments to successfully achieve business goals.
Education
Master of Science - Artificial Intelligence
Yeshiva University
New York, NY05.2022
Skills
- Python
- SQL
- Machine Learning
- Pandas
- Scikit-learn
- Cloud Computing
- Deep Learning
- TensorFlow
- Tableau
- Alteryx
- DataRobot
- Computer Vison
- NLP
- Airflow
- Spark
- AWS
- GCP
- Django
Certifications
- 2022-07 Machine Learning with Python - IBM
- 2023-05 Google Cloud Developer - GCP Professional Certification
- 2023-05 Google Cloud Professional Data Engineer
- 2023-07 Data Analyst - Google
Timeline
Machine Learning Engineer
AIREA Real Estate
09.2022 - Current
Machine Learning Engineer(Internship)
Albert Einstein College Of Medicine
01.2022 - 05.2022
Machine Learning Engineer(Internship)
S&P Global
05.2021 - 08.2021
Machine Learning Engineer
Limingjia Toys Co., Ltd
12.2019 - 12.2020
Machine Learning Engineer
Meizhou Longsheng Eco-tourism Resort Co., Ltd
01.2019 - 12.2019
Master of Science - Artificial Intelligence
Yeshiva University
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