Amaresh Siddanna is a data scientist with eight years of experience translating mathematical curiosity into practical AI and analytics solutions, currently focused on explainable, scalable anomaly detection for financial datasets at MindBridge. He began as a data analyst and built robust recommender systems, cohort segmentation pipelines, and real-time dashboards that drove measurable business impact, including a 13% sales uplift from a hybrid collaborative filtering approach. Comfortable across the ML stack, Amaresh blends statistical rigor, deep learning, and operations-aware engineering to move models from research to production. He holds a Master of Engineering from the University of Ottawa and consistently pursues new techniques by reading academic papers and attending industry conferences. Outside work he’s an outdoor enthusiast—often found camping, hiking, or stargazing—which mirrors his preference for principled, long-term thinking in complex problem solving.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Information Technology, Bachelor's degree, Information Technology at JSS Academy Of Technical Education Karnataka
Master of Engineering in Engineering Management, Information Technology, Master of Engineering in Engineering Management, Information Technology at University of Ottawa
Contributions:4 commits, 2 PRs, 3 pushes in 2 months
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