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Click here or scroll down to respond to this candidateCandidate's Name
New York, NY EMAIL AVAILABLE Street Address -233-1518 https://Candidate's Name
SummaryHighly accomplished data science leader and polyglot engineer with nearly a decade of experience building and growing data science teams, developing and deploying machine learning algorithms, data pipelines, and data warehouses across diverse industries, including financial services, management consulting, consumer web startups, real estate, and civic organizations. A certified cloud architect and hands-on software engineer proficient in Python, SQL, and Go, and experienced in managing DevOps on Amazon Web Services, Microsoft Azure, and Google Cloud PlatformSkillsPython, SQL, Go, Machine Learning, Deep Learning, Reinforcement Learning, Data Science, Data Engineering, Statistics, Causal Analysis, DevOps, Amazon Web Services, Google Cloud Platform, Microsoft AzureEducationPhD Physics, The City University of New YorkNew York, NY June 2018 June 2023Dissertation research focused on Information Entropy in relation to Quantum GravityB.S. Finance, The University of Texas at DallasDallas, TX September 2006 June 2010Professional ExperienceHead of AI, RadianceNew York, NY December 2023 CurrentDeveloped the core product using custom diffusion models and deep learning on 3D and 2D mammogram dataLed the company through funding rounds, leading to acceptance into NVIDIAs startup incubator and a successful venture backed round of $1.5MData Engineer, RXR Realty/View Inc.New York, NY December 2020 November 2022Led a team of six offshore developers to redesign the backend infrastructure of the Worxwell platform which supports 10,000 IoT sensors and contained 27,000 lines of legacy codeManaged the company's operations across two cloud service providers, redesigned existing services and implemented automated CI/CD, reducing cloud computing costs by $81,000 annuallyLaunched Airflow to improve the companys error-prone ETL processesCreated docker based templates for application code and an automated DevOps process that supports both Python, JavaScript and Go based data workflowsDesigned a distributed mobile access control integration capable of handling 6k messages per second using a rest web service, message queuing and data storage using Go + PythonDeveloped core Python utilities which streamline common interactions with Google Analytics, AWS, Azure, Airflow, SQL Server and PostgresFounder, Luminary Ltd.New York, NY October 2019 December 2020Self-financed the entire company as a Cayman Limited Fund and managed all aspects of fund creation, legal, branding, and offshore funds managementTrained neural networks with PyTorch to mimic day traders using policy gradient methods which reached win-rates of 80% in offline market simulationsWrote the entire platform using an architecture composed of Python based microservices to handle real time market data collection and storage, agent training and performance monitoring, agent simulation, agent deployment, trade execution and account managementSenior Manager, CognizantNew York, NY December 2018 October 2019Worked with Credit Suisse Wealth and Asset Management as a Senior Data Scientist Manager and subject matter expert to develop a new data science groupDeveloped a product recommendation engine using methods derived from natural language models that achieved 90% accuracy for the bank's fixed income divisionWorked with the operations team to deploy models to production and set up routine monitoring and maintenance. Production models directly contributed to $50M in monthly salesLed a team of data scientists to train and deploy deep learning models (LSTMs) that forecasted asset inventory levels, reducing counterparty risk and funds availabilityWorked with junior data scientists to analyze and publish research on initial public offerings (IPO) using statistical analysis, causal methods and data visualizations that gained high visibility and acclaim from Credit Suisse's executive officeRegularly led sessions to share best practices and train data scientists across the companyManager, EYNew York, NY February 2017 December 2018Performed statistical analysis of email traffic within banking operations to understand information propagation and operational efficiencyTrained NLP models to understand message context and designed an automation software-as-a-service product which generated over $500k in revenueDeveloped an anomaly detection framework for cybersecurity insider threat detection using machine learning based methods (LSTMs)Created a go-to-market partnership with Splunk and drove marketing conversations with large financial institutionsDesigned a conversational intelligence product using a microservice based architecture and NLP based models. Used to convert internal messages into a conversation graph used to identify trends, topics, and barriers to information flowDeveloped a partnership with Microsoft Workplace Analytics and worked with a top US bank to deploy a proof of conceptServed as the group's lead technical developer, managing the infrastructure and DevOps for 2-3 node research clusters and databasesWorked to debug core NVIDIA GPU optimizations to speed up model trainingGave speeches/presentations to large audiences as part of EYs Innovation Center, highlighting various Artificial Intelligence research projects and educating clients on use, contributing to sales opportunitiesFreelance Data Scientist, Self EmployedNew York, NY April 2016 February 2017Developed a frequent itemset mining model for an e-commerce company in ThailandDeveloped a proof of concept and worked with the company to integrate into core business operationsBuilt a recommender engine using a hybrid collaborative filtering model for a company in AsiaChief Technology Officer, FyndLos Angeles, CA October 2015 March 2016Served as the startups initial head of engineering, played significant roles in business strategy and product management, fund-raising, legal and operationsDeveloped the beta version of the product using Python + Django, Nginx, Postgres, Ansible and Jenkins CI for automated testing and deploymentDesigned the core product recommendation algorithm using a custom scoring frameworkSoftware Engineer, The GroundworkNew York, NY October 2014 April 2015Managed relationships with external partners, sourced engineering candidates, developed software architecture and analytical tools to achieve the group's objectives, eventually becoming the primary technology platform for Hilary for AmericaCreated an auto-scaling data pipeline capable of processing and integrating terabyte scale unstructured data from a large number of distributed producersCreated data integration channels from internally developed microservices to external vendors and data integration via AWS RedshiftSenior Consultant, EYNew York, NY February 2013 August 2014Served as lead data scientist on an internal engagement to solve problems faced by the organizations Global Technology Services team, performed statistical tests and causal analysis on large datasets including ANOVA, t-tests, chi squared tests for root cause analysisLed a team of five senior analysts to perform detailed data quality analysis and develop automated testing procedures (T-SQL) for a major US bank as part of a regulatory order from the CFPB, which directly led to an additional $1.5M of add on engagement revenueDesigned a methodology for AML transaction monitoring, customer segmentation and alert threshold setting for a large US financial institution in response to a regulatory order which included custom development of statistical tests on large datasets using SAS, developed custom SAS modules to create conditional inference treesDeveloped an NLP framework for Python used to determine the regulatory nature of customer complaintsSenior Analytics Consultant, JPMorgan ChaseNew York, NY June 2011 Feb 2013Served as primary analytics lead on a number of business process improvement/six sigma engagements for Chases retail and transaction processing unitsDeveloped a regression model trained on 20 million transactions and designed an operational process improvement in coordination with senior level managers and regulatory compliance which led to over $1.2 million in cost savingsDrove implementation of a for ATM claims operations that automates claim decision making, providing over $300,000 in cost savingsOperations Analyst, JPMorgan ChaseNew York, NY June 2011 Feb 2013Used statistical process control to develop risk indicators for operations managementCo-created an operational risk index with Protiviti which gained industry recognitionLed a team to close control gaps across 2 internal lines of business during a critical regulatory risk event and laid the foundation for a firm wide standard in executing sworn statements |
