Aravind Nathan is a Data Science Manager based in Sunnyvale with 11 years of experience applying machine learning, big data, and NLP to solve high-impact problems in financial crime detection and document intelligence. At Scry AI he progressed from intern to manager while building production ML systems—PySpark pipelines, reinforcement-learning recommendation engines, Mask-RCNN object detection for signatures, and fuzzy entity-resolution algorithms—that power anomaly detection on international wire transfers. He pairs classical statistical time‑series methods (ARIMA/SARIMA, VARMAX) with modern approaches (Isolation Forest, deep learning) and has hands-on expertise across the Hadoop/Spark ecosystem, MongoDB/SQL databases, and visualization tools like Tableau and D3.js. Trained at USC (MS CS) and a top engineering college in India, he combines strong academic foundations with practical product delivery and a knack for translating messy, multi‑modal data into robust features and proprietary similarity metrics. An observer of data quality as a leading signal, he often focuses early on data-ingestion validation to improve downstream model performance.
11 years of coding experience
7 years of employment as a software developer
Master's Degree, Computer Science, 3.73 / 4, Master's Degree, Computer Science, 3.73 / 4 at University of Southern California
Bachelor's Degree, Computer Science, 8.55 / 10 - First Class with Distinction, Bachelor's Degree, Computer Science, 8.55 / 10 - First Class with Distinction at Sri Sivasubramaniya Nadar College Of Engineering
High School, Computer Science, Secured 93.2% (466/500), High School, Computer Science, Secured 93.2% (466/500) at DAV Senior Secondary School, Mogappair ,Chennai
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