Data Engineer Python, Machine Learning, Data Analysis
United States
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Summary
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Senior
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Top School
Arushi Nigam is a data engineer with eight years of cross-functional experience, currently deploying production ML models at Seagate Technology to monitor 1,000+ tool-health signals daily and cut anomaly investigation time by over two hours. She designs end-to-end ML pipelines and MLOps workflows—having built interview-analysis and robust speech-to-text systems using OpenAI Whisper that saved HR teams hours per candidate—and has hands-on experience with PySpark, HDBScan, PYOD, Kubernetes, and GitLab CI/CD. Her work blends rigorous data analysis (evaluating millions of records for data quality issues) with practical automation and deployment, and she has led comparative ensemble experiments across 15+ detector configurations to optimize anomaly detection. A dual-background in cognitive design and international business informs her collaborative leadership—she served as AAF president at UCSD—and she’s comfortable translating ambiguous product needs into scalable ML solutions.
8 years of coding experience
Master's degree, Data Science, Master's degree, Data Science at University of Southern California
Bachelor of Arts - BA, International Studies-International Business, Bachelor of Arts - BA, International Studies-International Business at University of California, San Diego
Bachelor of Science - BS, Cognitive Science (specialization in Design and Interaction), Bachelor of Science - BS, Cognitive Science (specialization in Design and Interaction) at University of California San Diego
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Arushi Nigam - Data Engineer Python, Machine Learning, Data Analysis