Mississippi State University
Master of Science, Computer Science
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I have extensive experience designing and developing data processing pipelines, including ETL, web scraping, and trade reconciliation systems, which have given me a deep understanding of data quality, annotation, and transformation for high-stakes applications. My work spans handling diverse datasets such as macroeconomic indicators, financial reports, and market data feeds, ensuring data is accurately captured, validated, and structured for use in quantitative models and automated trading strategies. I am highly skilled in Python, SQL, Bash, and various APIs, and have collaborated with cross-functional teams to support data-driven decision-making. My background in building simulation and back-testing frameworks has also honed my ability to create robust datasets for model training and evaluation, making me well-equipped to contribute to data labeling and AI training data projects.
Changzheng R. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Science, Computer Science
Bachelor of Science, Computer Software
Software Engineer
Senior System Developer