Amy Steier Email & Phone Number
@gretel.ai
1 phone found area 858
LinkedIn matched
Who is Amy Steier? Overview
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Amy Steier is listed as Principal AI and ML Scientist at NVIDIA, based in San Diego County, California, United States. AeroLeads shows a work email signal at gretel.ai, phone signal with area code 858, and a matched LinkedIn profile for Amy Steier.
Amy Steier previously worked as Principal Machine Learning Scientist at Gretel.Ai and Principal Data Scientist at Forcepoint. Amy Steier holds M.S., Ph.D, Computer Science from Uc San Diego.
Email format at NVIDIA
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AeroLeads found 1 current-domain work email signal for Amy Steier. Compare company email patterns before reaching out.
About Amy Steier
I am a highly accomplished machine learning and data scientist with more than 20 years experience. My passion is big data and surfacing the hidden intelligence within using techniques from machine learning, data mining, artificial intelligence and statistics. I am highly skilled in predictive modeling, classification, clustering, anomaly detection, data visualization, ensemble methods, information retrieval, cybersecurity analytics , NLP, recommendation models, and (one of my biggest loves) user behavioral analytics. I love to expand and customize existing algorithms to provide the most effective solution for the problem at hand. I am adept at building fast prototypes as a way to both assess and communicate the efficacy of a product solution. I am extremely self motivated and capable of working independently, as well as part of a larger cross functional team. I'm experienced and skilled at leading a team of scientists and engineers. I enjoy mentoring, as well as learning about new techniques and ideas. In summary, I am innovative, results-driven, and passionate about my work, and enjoy working with others who are like-minded. Data Science and Software Skills: • Predictive Modeling (support vector machines, random forests, CART, Bayesian models, linear and logistic regression, neural networks, kNN, XGBoost) • Clustering (k-means, DBSCAN, CLARA, Louvain Modularity, Expectation Maximization) • Anomaly Detection (distance and density-based, multivariate, clustering-based, parametric ) • Text analytics/NLP (categorization, clustering, concept/entity extraction, sentiment analysis, statistical semantics of phrases) • Search (ranking, relevance, query optimization) • R, Perl, Python, NumPy, Pandas, Scikit-Learn, C, C++, Java, Linux, Windows, Bash • Hadoop, HBase, Hive, MapReduce, Spark • SQL, MySQL, Elastic Search, MongoDB, ETL, REST, JSON • Gephi, Tableau, TensorFlow, MATLAB, Excel, PowerPoint, JavaScript, D3, SVG, HTML, CSS
Listed skills include Linux, Machine Learning, Perl, Natural Language Processing, and 10 others.
Amy Steier's current company
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Amy Steier work experience
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Principal Machine Learning Scientist
Gretel helps developers safely and quickly experiment, collaborate, and build with customer data.R&D Focus Areas: Synthetic data generation, natural language processing, data visualization, deep learning.
Principal Data Scientist
Applied research on cybersecurity analytics and threat coverage. Focus on machine learning and data science.Achievement Highlights:• Orchestrated, designed and prototyped user behavioral analytics for predicting which users would encounter a serious web security risk. Profiled millions of users using a broad range of features related to their current and historical web use. Successfully isolated the patterns associated with compromised and at risk users.• Primary analytics researcher in a cross-functional team building a cloud based user web anomaly report. Designed and prototyped an analytic that profiled a user’s stream of web requests isolating user to self-anomalies and user to company. Designed novel variation of multivariate distance based algorithm that optimized performance to near linear. Supplemented anomaly scores with summary explanations of features contributing to score.• Researched and prototyped a machine learning analytic that used a broad range of features to characterize and predict the profile of a user infected with malware. Built an interface enabling security analysts to browse through potential and confirmed infections, explore features that triggered model and other similar users. • Designed and built a back-end system that mined a stream of cybersecurity product feedback to detect new threats and holes in known threats using multiple machine learning and statistical approaches to exploit risk of URLs commonly visited in same time frame or co-occurring on same domain or IP that significantly improved web security coverage.
Principal Machine Learning Scientist
Technology research on current and future product lines, cybersecurity analytics and threat coverage, web categorization, focus on machine learning and data science.Achievement Highlights:• Designed and built innovative security research tool for visualizing threat landscape from multiple dimensions.• Designed and prototyped a high precision analytic for detecting outbound malware communication in client specific HTTP transactions, analyzing traffic with the same user agent that isolated patterns from malware. • Mined product feedback from millions of users to cluster and visualize websites by exploiting commonality of users visiting them. System was used by security analysts to fill in coverage of C&C clusters.• Clustered and visualized malware using aspects deduced from sandboxing product. System instrumental in categorization and evaluation of new malware.• Lead a data scientist team in comparing security coverage with competitors to isolate areas of advantage.• Designed and prototyped system for finding potential mobile malware using sentiment analysis and for classifying topic of web sites based on historical web surfing profiles of users visiting them.• Primary researcher on real-time web categorization analytic used in web filtering and security products.• Led a team of scientists in CTO Office exploring new technology and product directions.• Designed and prototyped a web site recommendation system highlighting web search results using a collaborative filtering of web category preferences of employee’s colleagues.
Consultant
Intelligent bibliographic text analysis.
Vice President, La Jolla Research Lab; Director, Research And Development
Directed an office of scientists and engineers in search, classification, visualization and next generation product platforms. Directed a team of scientists and engineers, research and development, in information retrieval, natural language understanding and data mining.
Consultant
Provided technical advice, as well as hands on research and development, in the areas of information retrieval, natural language processing and data mining.
Research Assistant
Research in Machine Learning and Neural Networks
Programmer/Analyst
Software development on a large DOD integrated financial management system.
Amy Steier education
M.S., Ph.D, Computer Science
B.S., Computer Science
Frequently asked questions about Amy Steier
Quick answers generated from the profile data available on this page.
What company does Amy Steier work for?
Amy Steier works for NVIDIA.
What is Amy Steier's role at NVIDIA?
Amy Steier is listed as Principal AI and ML Scientist at NVIDIA.
What is Amy Steier's email address?
AeroLeads has found 1 work email signal at @gretel.ai for Amy Steier at NVIDIA.
What is Amy Steier's phone number?
AeroLeads has found 1 phone signal(s) with area code 858 for Amy Steier at NVIDIA.
Where is Amy Steier based?
Amy Steier is based in San Diego County, California, United States while working with NVIDIA.
What companies has Amy Steier worked for?
Amy Steier has worked for Nvidia, Gretel.Ai, Forcepoint, Websense, and Contentscan Inc..
How can I contact Amy Steier?
You can use AeroLeads to view verified contact signals for Amy Steier at NVIDIA, including work email, phone, and LinkedIn data when available.
What schools did Amy Steier attend?
Amy Steier holds M.S., Ph.D, Computer Science from Uc San Diego.
What skills is Amy Steier known for?
Amy Steier is listed with skills including Linux, Machine Learning, Perl, Natural Language Processing, Data Mining, Information Retrieval, Neural Networks, and Software Development.
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