Daniel Maryanovsky Email and Phone Number
Three-time startup starter, Y-Combinator alum, witness to the fall of San Francisco, advocate for higher standardsBut really just a curious, idea driven weirdo that loves impossible challengesThings I’ve done, most of which I still can’t believe:Published in Science and NaturePredicted explosive real-estate investments ten years out, using only publicly available data, with a precision of 99%Enabled millions of new transactions on Shopify with a novel recommender system and product classifierBuilt an RL deep net to manage hundreds of IoT devices, triaging power and reducing energy bills by millions of dollars (in 2018!)Discovered dozens of new ceramics, and soon-to-be-confirmed hundreds more, with a novel Bayesian decision tree methodSolved a longstanding imaging issue in materials science: classifying crystals with EBSD. All it took was a simple CNNBuilt the internal modeling library at a BioTech company, enabling the discovery of new diabetes treatmentsOptimized a production schedule at an industrial metal manufacturing company, reducing costs by millions of dollars yearly.
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Data Science ContractorMedimpact Healthcare Systems, Inc.San Diego, Ca, Us -
Chief Data ScientistW8Less Llc Jan 2024 - PresentSan Diego, California, United States -
Owner, Engineer, ConsultantKabbalah Ai Solutions Jan 2019 - PresentSan DiegoI run a consultancy focusing on industry grade AI and Data Science solutions.We focus on exploratory analysis and predictive modeling, including deployment of large scale machine learning solutions. Completely new problems are our forte.Please see the 'About Me' section for brief overview of my projects
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Senior Data ScientistGovyrl, Inc. Mar 2021 - Feb 2024California, United States -
Data ScientistMariadb Corporation Dec 2019 - May 2020 -
Machine Learning And Data Science ContractorBrivibas Consulting Aug 2019 - Dec 2019San Diego, California, United States- Worked on a consulting team with bio-chemists and biologists to analyze datasets and produce actionable (NDA protected) insights for several San Diego Bio-tech companies- Leveraged insights to develop a novel deep learning architecture for automated drug discovery, adopted permanently by Brivibas.- Trained Brivibas personnel on use and maintenance of the delivered system- Tensorflow, Tensorflow-extended, Scikit-Learn, StellarGraph
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Data Science ContractorOerlikon Jun 2019 - Dec 2019- Analyzed historical data of industrial metal powders manufactured by Scoperta - a subsidiary of Oerlikon.- Modeled imperative chemistry data and physical assumptions to predict and infer historical material and energy costs - Tensorflow-Probability, Tensorflow, Scikit-Learn -
Brazilian Jiu-Jitsu InstructorUcsd Recreation Jan 2011 - Dec 2019I teach an entry level course in Brazilian Jiu-Jitsu for 10 years. Over 3,000 students!
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Chief Data ScientistLofty Ai Aug 2018 - Jun 2019 -
Chief Data ScientistLocbit Dec 2017 - Dec 2018San DiegoI ran the nascient R&D deparment at Locbit. I used Locbit's brilliant IoT system to analyze power consumption patterns in physical facilities, and built methods to automatically minimize power costs. -
CtoAi Master Feb 2017 - Jan 2018San Diego,Ca
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Brain-Computer Interfaces ResearcherThe Laboratory Of Virginia De Sa 2013 - Dec 2016La Jolla, CaThe laboratory focuses on both EEG-based brain-computer interfaces and machine learning solutions for natural computation problems. My focus has been the former.My responsibilities included: - Invented a completely novel deep learning architecture that automatically discovers and learns ideal weights at record classification accuracy - paper to appear. - Involvement in all aspects of research in EEG based Brain-Computer Interfaces for novel applications, including experiment design, experiment implementation, EEG application, analysis, and classifier implementation - Design of BCI systems involving a novel feature for detecting human satisfaction/dissatisfaction for BCI control - Designed and built experiments in python, using the panda based SNAP library. - Work on offline and online analysis methods, including implementation of original classifiers, written in matlab and python. - Trained new researchers.
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Sponsored ResearcherUcsd Tu Lab Sep 2014 - Dec 2015La Jolla, CaI am involved with research in the field of Machine Learning. The laboratory focuses on novel and improved machine vision methods. The lab focuses on improving core models as well as method performance,and is guided by mathematical and theoretical approaches. My contributions: - Involved in model design, implementation, and performance analysis for cutting edge machine vision and NLP algorithms. - Work is closely associated with Zhuowen Tu’s deeply supervised learning method for machine vision, written in C++, which produced record results on several standardized data sets. - Designed and wrote, in matlab and python, an application of the deeply supervised learning method for paraphrase detection. Improved on record accuracy results from previous similar systems, as well as time/memory performance with a modified training method.
Daniel Maryanovsky Education Details
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Computational Cognitive Science -
University City High School
Frequently Asked Questions about Daniel Maryanovsky
What company does Daniel Maryanovsky work for?
Daniel Maryanovsky works for Medimpact Healthcare Systems, Inc.
What is Daniel Maryanovsky's role at the current company?
Daniel Maryanovsky's current role is Data Science Contractor.
What schools did Daniel Maryanovsky attend?
Daniel Maryanovsky attended University Of California, San Diego, University City High School.
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Daniel Maryanovsky
Principal Dentist And Owner At Studio Smiles | Lecturer At La TrobeGreater Melbourne Area1latrobe.edu.au2 +614003XXXXX
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