Zara Dana, Phd

Zara Dana, Phd Email and Phone Number

Head of AI and Interim CTO @ Supportiv
Seattle, WA, US
Zara Dana, Phd's Location
Seattle, Washington, United States, United States
About Zara Dana, Phd

A visionary and result-driven machine learning leader with over a decade of experience designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to complex business problems. I have a proven track record of leading and mentoring data science and machine learning teams to deliver successful AI-driven products and services to improve internal operations and customer experiences in collaboration with cross-functional teams.SKILLS• Strong leadership, strategy development, and project management skills• Strong analytical, critical thinking, and problem-solving skills driven from first principles thinking• Proficient in Natural Language Processing (NLP), Large Language Models (LLM), Computer Vision (CV) and Multimodal AI• Expertise in AI technologies, data science, and big data analytics• Deep understanding of Data Structures, Algorithms, and Software Design• Excellent programming skills in Python, JavaScript, and other languages• Experience with deep learning frameworks like TensorFlow, PyTorch, and Keras• Exceptional communication of complex technical concepts to non-technical stakeholders• Knowledge of infrastructure and cloud platforms like GCP, Azure, AWS• Experience with agile development methodologies

Zara Dana, Phd's Current Company Details
Supportiv

Supportiv

View
Head of AI and Interim CTO
Seattle, WA, US
Website:
supportiv.com
Employees:
116
Zara Dana, Phd Work Experience Details
  • Supportiv
    Head Of Ai And Interim Cto
    Supportiv
    Seattle, Wa, Us
  • Supportiv
    Head Of Artificial Intelligence
    Supportiv Feb 2024 - Present
    Berkeley, California, Us
  • Edlight, Pbc
    Chief Technology Officer
    Edlight, Pbc Sep 2023 - Jan 2024
    Boston, Massachusetts, Us
    • Engineered computer vision segmentation, optimizing the parsing of student work for improved insights.• Developed an in-context learning multi-modal AI model to analyze students’ math assignments and provide feedback.• Crafted a roadmap to guide the AI/ML team toward achieving its short- and long-term goals and objectives.• Instituted systems that transformed the engineering team's operations, enhancing efficiency and transparency.
  • Smartthings
    Ai/Ml Engineering Manager
    Smartthings Jun 2023 - Sep 2023
    Mountain View, California, Us
    • Improved the efficiency of the data extract transform load (ETL) pipelines by over 40% using Dask and Python.• Led a team of 5 ML engineers to achieve a 20% performance improvement in the presence detection AI model.• Mentored and coached ML engineers to develop their skills and grow their careers within the company.• Developed an AI/ML roadmap with Product to differentiate Smartthings from Samsung AI/ML teams. • Collaborated with privacy and security teams to develop a reliable, scalable, and secure policy for data management.
  • Snickerdoodle Labs
    Head Of Data Science
    Snickerdoodle Labs May 2022 - Jun 2023
    San Jose, California, Us
    • Developed a comprehensive strategic roadmap for the company's data science, machine learning, and AI initiatives.• Spearheaded adopting new technologies, resulting in 20% cost-saving and improved customer satisfaction and growth.• Led a cross-functional team of 8 engineers to develop and implement ETL pipelines and API specifications.• Implemented rigorous system testing protocols that reduced bugs by 15% and accelerated deployment cycles.• Created data-driven insights and solutions in collaboration with the Product team and early adopter customers.
  • Supportiv
    Director Of Artificial Intelligence
    Supportiv Apr 2021 - Apr 2022
    Berkeley, California, Us
    • Managed a team of distributed data scientists and engineers to develop and deploy AI models for various services.• Led the design and implementation of a recommender system using language models, rankers, and ANN search.• Led the creation of ML pipelines: data preparation, modeling, and operationalization (deploy, monitor, retrain).• Mentored engineers, fostering technical skill development and encouraging a culture of continuous innovation.• Led the implementation of human-in-the-loop continuous learning, resulting in a 10% drop in incorrect predictions.• Developed statistical models and algorithms for an optimized scheduling strategy, resulting in a 15% cost savings.• Improved customer satisfaction by 30% with an AI-driven solution to increase empathetic language -- patent pending.
  • Onetrust
    Founding Data Science Lead
    Onetrust Oct 2019 - Mar 2021
    Atlanta, Georgia, Us
    • Led the development of language models to support various products utilizing supervised and unsupervised learning.• Developed a Transformer based image captioning application (vision language) to support data governance.• Collaborated with Product managers and business leaders to identify and prioritize AI-based opportunities.• Mentored and trained data scientists guiding data analysis and modeling techniques.• Developed and maintained machine learning infrastructure and tools for model training and hyperparameter tuning.• Implemented a multi-lingual personal data redactor based on Named Entity Recognition (NER) for GDPR compliance.
  • 7D Surgical
    Ai Researcher
    7D Surgical Dec 2016 - Jun 2019
    Toronto, On, Ca
    • Mentored the development of a machine-vision algorithm to detect incorrect registration of the surgical surface.• Created an image processing pipeline to locate intervertebral discs in CT images to facilitate vertebral segmentation.• Trained a U-Net convolutional neural network to segment the spinal canal in CT medical images.• Implemented a robust tracking algorithm of reflective spheres with sub-millimeter accuracy in the video stream.• Developed a novel surgical tool calibration algorithm that located the tooltip with submillimeter error.
  • Sunnybrook Health Sciences Centre
    Research Assistant
    Sunnybrook Health Sciences Centre Sep 2012 - Nov 2016
    Toronto, Ontario, Ca
    • Led the development of a brain-computer interface stroke rehab therapy by predicting motor activity using EEG.• Implemented data pipelines and automated workflows to streamline the processing of functional MRI and EEG.• Designed, implemented, and evaluated a comprehensive real-time motion correction strategy during functional MRI. • Quantified and characterized the physiological noise impact in slice-accelerated compared to regular functional MRI.
  • University Of Waterloo
    Research Assistant
    University Of Waterloo 2010 - 2012
    Waterloo, Ontario, Ca

Zara Dana, Phd Skills

Leadership Artificial Neural Networks Fmri Natrual Language Understanding Git Linux Data Science Algorithms Node.js Numerical Analysis Magnetic Resonance Imaging Matlab Biomedical Engineering Keras Tensorflow Data Analysis Recurrent Neural Networks Image Processing Information Theory Deep Learning Data Mining Vtk Natural Language Processing Signal Processing React.js Artificial Intelligence Programming Latex Microsoft Office Opencv Microsoft Excel Javascript C++ Business Intelligence Computer Vision Conversational Ai Pytorch Sql Python Management Image Registration Medical Imaging Project Management Research Natrual Language Processing Software Development Mri Analytics Machine Learning Radiology Natural Language Understanding Radiologic Technology Transact Sql Digital Image Processing Statistics C# Data Visualization Django Rest Api Functional Magnetic Resonance Imaging

Zara Dana, Phd Education Details

  • University Of Toronto
    University Of Toronto
    Biomedical/Medical Engineering
  • Stanford University
    Stanford University
    Natural Language Understanding
  • University Of Waterloo
    University Of Waterloo
    Electrical And Communications Engineering

Frequently Asked Questions about Zara Dana, Phd

What company does Zara Dana, Phd work for?

Zara Dana, Phd works for Supportiv

What is Zara Dana, Phd's role at the current company?

Zara Dana, Phd's current role is Head of AI and Interim CTO.

What schools did Zara Dana, Phd attend?

Zara Dana, Phd attended University Of Toronto, Stanford University, University Of Waterloo.

What skills is Zara Dana, Phd known for?

Zara Dana, Phd has skills like Leadership, Artificial Neural Networks, Fmri, Natrual Language Understanding, Git, Linux, Data Science, Algorithms, Node.js, Numerical Analysis, Magnetic Resonance Imaging, Matlab.

Who are Zara Dana, Phd's colleagues?

Zara Dana, Phd's colleagues are Aliesah Faye Abarado, Rpm, Nganga Wanjiku, Neville Jeftha, Sparklle Rainne, Raleith D., Tanishka Sharma, Oshaunie Sullivan.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.