Qiyu Long
San Jose,CA
Overview
4
4
years of professional experience
Work History
Data Engineer
Blend360
02.2023 - Current
- Engineered and optimized AWS-based data pipelines for USPS, implementing machine learning algorithms to standardize and process over 200,000 rows of data daily, achieving a 50% reduction in processing time.
- Automated healthcare data reporting, reducing processing time from 12 hours to 10 minutes, showcasing significant efficiency improvements.
- Developed SQL-based data extraction and manipulation techniques on Teradata and SQL Server for large datasets, incorporating machine learning models to enhance data analysis and efficiency.
- Led data management initiatives on Snowflake, incorporating advanced ML models such as Gradient Boosting Machines and Random Forest for predictive analytics with PyTorch; optimized cloud resource allocation across Databricks, GCP, and AWS platforms, achieving a significant 30% reduction in costs.
- Developed Flask-based applications for real-time analysis of e-commerce clickstream data, leveraging Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN) with ScikitLearn; Provided deep insights into user behavior patterns, driving targeted marketing strategies and enhancing customer engagement.
Technical Marketing Intern
Xilinx, Inc
06.2020 - 10.2020
- Actively tracked and analyzed dynamic landscape of electronic engineering development board industry, continuously staying abreast of latest trends, lectures, and industry cases.
Employed Numpy and Pandas to proficiently process and visualize sales data for multiple markets, enabling quick and insightful analysis of key metrics. - Meticulously performed data cleaning and validation processes on marketing data, resulting in establishment of a robust data management platform.
- Employed meticulous data management practices to guarantee accurate data analysis and entry of summer school outcomes, enabling reliable insights and informed decision-making.
Education
Master of Science - Computer Science
The University of Chicago
Chicago, IL12.2022
Bachelor of Science - Computer Science
New York University
New York, NY05.2021
Skills
- Programming Languages : Python, JavaScript, Java, Html, CSS, SQL, Shell Script
- Frameworks & Libraries: : Flask, Flask-Restful, Marshmallow, Numpy, Reactjs
- Databases & Storage: : MySQL, NoSQL (MongoDB), Spark
- Tools & Platforms: Nodejs, Docker, Hadoop, Airflow, PyTorch, TensorFlow, Hugging Face
- Cloud Services : AWS, Google Cloud Platform, Databricks, Snowflake
- Version Control : Git/GitHub
- Certification : Google Cloud Certified Associate Cloud Engineer
Research experience
Research Assistant , 09/2021 to 12/2022
CANON Lab, The University Of Chicago – Chicago, IL
- Focused on NLP and ML applications for educational platforms, significantly enhancing the user experience and engagement through the development of intuitive UIs and automated content analysis tools.
- Architected a comprehensive AWS-based data pipeline for real-time analysis of students' behavior, leveraging machine learning for deeper insights into learning patterns.
- Engaged in extensive research on topics related to Human-Computer Interaction and Computer Science Education, providing valuable insights and support to professors in their academic endeavors.
- Played a key role in the development of the front-end components of learning platform dedicated to the Scratch Programming Language, leveraging React.js to create an intuitive and engaging user experience.
- Developed and seamlessly integrated an automated analytical tool into the Scratch programming environment, leveraging Flask as the framework, to evaluate and assess the quality of Scratch projects.
Publications
- J. Wu, C. Liu, Q. Long and W. Hou, "Research on Personal Identity Verification Based on Convolutional Neural Network," 2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT), Kahului, HI, USA, 2019, pp. 57-64.
Timeline
Data Engineer
Blend360
02.2023 - Current
Technical Marketing Intern
Xilinx, Inc
06.2020 - 10.2020
Master of Science - Computer Science
The University of Chicago
Bachelor of Science - Computer Science
New York University
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