Andy Mahdavi Email and Phone Number
Andy Mahdavi work email
- Valid
- Valid
- Valid
Andy Mahdavi personal email
Andy Mahdavi phone numbers
As an AI and technology executive, I have launched nationwide machine-learning-based financial services products, including automation using Large Language Models. Areas of subject matter expertise include insurance, credit card lending, real-time fraud detection, model interpretability, and model risk.• CTO and analytics leader with expertise in communicating with the board, customers, regulators, vendors, and financial services stakeholders.• Built and led the team responsible for AI algorithms behind the Doma Intelligence platform, including instant insurance decisioning and LLM-based email and document automation, leading to Doma's $3B IPO in 2021.• Helped create Capital One's current US consumer transaction fraud defenses, at the time the largest proprietary realtime fraud detection system launched by a bank.• Experience spinning up and managing teams that work in as diverse environments as python, Java, R, C, or C++; data science platforms such as pytoch, tensorflow, scikit-learn, H2O, MLFlow, and Apache Spark; distributed training and ML productionization platforms including Kubernetes on Azure; and data labeling platforms such as Scale AI.• Oversaw teams required to deal with data sources as diverse as API-based real-estate property data feeds, fraud and identity aggregator bulk data sets, electronic county-level mortgage and default records, credit card transactions and statements, the Hubble Space Telescope / NASA archives and particle physics experiments.• Wrote 40+ peer-reviewed articles for top-tier internationally recognized journals, with 5000+ citations. United States Fulbright Scholar at Germany's Max-Planck-Institut.
-
Chief Technology OfficerDoma Technology LlcSan Francisco, Ca, Us
-
Chief Technology OfficerDoma Dec 2022 - PresentSan Francisco, Ca, UsWe're the upstart insurtech that's making real estate transactions close faster and more efficiently using machine learning and LLMs. I work in service of the software engineering, data science, data engineering, technology operations, cloud infrastructure, and technical project management teams at Doma. -
Chief Data ScientistDoma Aug 2017 - Dec 2022San Francisco, Ca, UsDoma rose from startup in 2016 to #8 nationally in 2018, went public in 2021, and made it to Inc Magazine's list of top places to work the same year. Homeowners across America are closing their mortgages faster and more reliably through tech enabled by our machine learning algorithms.Life as a data scientist, engineer, or analyst here is thrilling, because we:• Are the first to deploy a property-based risk model in this industry (we've patented it!)• Are the first to deploy transformer-based deep learning networks to automatically identify, process, action, and respond to real estate customer communications and hundreds of document types• Enjoy complete ownership of model deployment, from scientific invention to business-relevant thresholding to the actual API call that touches our product• Meet with deep legal minds in academia and the title industry to quantify risk and produce accurate loss forecasts• Make virtuosic visualizations, from sliced 4-dimensional heat maps for our team's use, to intuitive business distillations of model lift for stakeholders • Meet data vendors and zealously pursue lift through invention of additional features and targets• Drive modeling innovation through both deep reading of the latest literature and invention in the areas of transformers, model optimization, and computer vision• Engage in MLOps best practices, meticulously test our software, and join regular code reviews with Engineering• Oversee the flow of information across the company to data science, finance, the business, and operations via a well-designed data architectureWe're looking for new data scientists, data analysts, and engineers to join us on this amazing journey.
-
AdvisorAuditive Nov 2022 - PresentGuiding Auditive's AI/ML and overall company strategy as they bring third-party risk assessment into the modern age. -
Director, Data ScienceCapital One Feb 2017 - Aug 2017Mclean, Va, UsI was the lead scientist within a group of vibrant product managers, engineers, and data scientists working together in cross-functional squads to enable machine learning on our customer acquisitions platform. We designed an application fraud model as part of a satisfying overall credit card application experience. Our larger mission was simple: to engage in ethical lending, transforming lives through human- and machine-engineered granting and increase of credit. Some of my roles included:• Designing scientifically driven experimentation and engineering patterns for boosting machine learning power• Creating an active ML framework that ties together business, governance, and systems monitoring • Inspiring an open- and inner-sourcing mindset and helping to drive judicious combined use of tools such as Apache Spark, H2O, and scikit through pointed and technically deep consultations across a variety of languages (C, Python, Java, Scala, R, awk)• Theoretical research into pruning and traversing of high dimensional feature spaces• Mentoring the growth of rising data scientists from theoretical, software engineering, as well as personal development points of view• Advising executives on the broader management strategy for our rich, beautiful data sets -
Senior Manager, Data ScienceCapital One Feb 2015 - Feb 2017Mclean, Va, UsI served as a lead data scientist for several key model builds in the fraud detection and credit decisioning space, leveraging one of the largest training data sets ever used at Capital One and the first massively parallel-trained Gradient Boosting Machine in use here.Some of my roles included:• Relentless pursuit of model lift by deep and joyful collaboration with an outstanding team of data scientists across feature engineering, pipeline architecture, and statistics• Vetting of tech and data science startups in an advising role for Capital One Growth Ventures, our VC arm• Creation of data science pipelines involving Hadoop MapReduce, H2O, Spark, Python, Scikit, vowpal wabbit, and Word2Vec, and of model serving systems involving Apache Storm • Assembly of a thoroughly cleansed, public-facing transaction data base for use in live data science competitions, graduate student statistics face-offs, and physical data art that will soon grace our HQ lobby• Shaping of intellectual property discussions in Capital One Labs
-
Associate Professor Of Physics And AstronomySan Francisco State University Aug 2014 - Aug 2017San Francisco, Ca, UsI was a tenured professor with time equally split between research (implementing parallel algorithms to retrieve dark matter properties using big data from space telescopes) and teaching (lecturing on physics and astronomy as well as mentoring graduate student research).Key achievements:• Released open source OpenMP+MPI parallel implementation of Bayesian Markov Chain Monte Carlo code• Led the development of proprietary GPU-accelerated galaxy cluster plasma integration code on the SFSTAR computational facility• Mentored award-winning graduate students and placed them into PhD programs and jobs in Silicon Valley • 7+ peer-reviewed journal publications as Andisheh Mahdavi -
Assistant Professor Of Physics And AstronomySan Francisco State University Aug 2008 - Aug 2014San Francisco, Ca, UsI was a tenure-track professor with time equally split between research (highlighted on NPR; see link below) as well as teaching. In addition, I led the creation of a new high performance computing facility and designed five new physics and astronomy courses.Using Hubble space telescope, led team that discovered a massive dark matter structure (Abell 520) with unusual collisional properties • Conducted high precision dark matter mass measurements through a multi-disciplinary data pipeline that combined X-ray, optical and radio wavelength telescopic data • Built and led the direction of the on-prem SFSTAR high performance computing facility • Created a new undergraduate course on the Big Bang for physics majors, focusing on the history of cosmic origins, from ancient origin myths to a calculus-based treatment of the historical unfolding of cosmology • 14 peer-reviewed journal publications as Andisheh Mahdavi
-
Postdoctoral FellowUniversity Of Victoria 2005 - 2008Victoria, Bc, CaCreated distributed Levenberg-Marquardt minimization code using error-corrected numerical derivatives • Used the XMM-Newton telescope to trace faint plasma in galaxy group environments • 8 peer-reviewed publications as Andisheh Mahdavi -
Chandra Postdoctoral FellowUniversity Of Hawai‘I System 2001 - 2005Honolulu, Hi, UsUsed the world's largest telescopes on Mauna Kea, Hawaii to trace the velocities of galaxies in groups and clusters, leading to dark matter mass measurements • Built deprojection tool for modeling galaxy cluster atmospheres in three dimensions • 8 peer-reviewed publications as Andisheh Mahdavi -
Fulbright ScholarMax Planck Institute For Extraterrestrial Physics Aug 1995 - Jul 1996Garching, DeDeveloped sophisticated spatial feature and event detection technique customized for extremely low signal-to-noise data • Used orbiting ROSAT X-ray Satellite to trace the link between cosmic plasma and dark matter • Peer-reviewed publication
Andy Mahdavi Skills
Andy Mahdavi Education Details
-
Harvard UniversityAstronomy And Astrophysics -
Harvard UniversityAstronomy And Astrophysics
-
Harvard UniversityAstronomy And Astrophysics
Frequently Asked Questions about Andy Mahdavi
What company does Andy Mahdavi work for?
Andy Mahdavi works for Doma Technology Llc
What is Andy Mahdavi's role at the current company?
Andy Mahdavi's current role is Chief Technology Officer.
What is Andy Mahdavi's email address?
Andy Mahdavi's email address is an****@****oma.com
What is Andy Mahdavi's direct phone number?
Andy Mahdavi's direct phone number is +141533*****
What schools did Andy Mahdavi attend?
Andy Mahdavi attended Harvard University, Harvard University, Harvard University.
What skills is Andy Mahdavi known for?
Andy Mahdavi has skills like Physics, Astrophysics, Astronomy, Numerical Analysis, Latex, Science, Mathematical Modeling, Spectroscopy, Data Analysis, Scientific Computing, Mentoring, Statistical Modeling.
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
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.
Start your free trial