Summary
Rashmi Krishnamurthy is a software engineer with eight years of professional experience and a strong focus on data science and machine learning. Based in Fremont, CA, she blends an embedded systems and DSP background with modern Python-based analytics, having shifted to data-focused work over the last two+ years. She has applied statistical and time-series techniques to large asset datasets, developed clustering algorithms and deployment-ready code, and built reusable templates to scale analytics workflows. Rashmi holds postgraduate credentials in Data Science (EMERITUS/Columbia Engineering) and pairs academic rigor (GPA 10/10 at EMERITUS) with hands-on practice in Kaggle kernels and Datacamp toolkits. Her profile reflects a pragmatic engineer who moves from low-level C and embedded concepts to high-level ML pipelines, making her effective at bridging algorithm design and production deployment.
8 years of coding experience
7 years of employment as a software developer
Post Graduate Diploma in Datascience, Datascience and Machine Learning, GPA 10/10, Post Graduate Diploma in Datascience, Datascience and Machine Learning, GPA 10/10 at EMERITUS
Post Graduate Diploma in Data Science, Data Science and Machine learning, Post Graduate Diploma in Data Science, Data Science and Machine learning at Columbia Engineering
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at PDA College of Engineering - India