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Deloitte consultant/engineer with experience in Machine Learning, Cloud Computing, Data Science, Data Engineering, Data Visualization, IT Consulting, Database Management, and Business Intelligence.-> Machine Learning- Conducted research on use of Quantum Computing in Deep Reinforcement Learning algorithms like DQN- Analyzed hardware performance of various models using services like Weights and Biases- Worked on Practical Machine Learning projects such as recommendation systems- Tutored graduate and undergraduate students for various machine learning classes and projects-> Data Engineering- Helped manage and perform ETL operations for HIIPA data in MSSQL and Neo4J with Pentaho- Analyzed memory consumption problems for Django application related to data loading-> Business Intelligence- Examined past economic, environmental, and statistical data, determining potential operational effectiveness of largest regional markets and reporting.-> Data Analytics- Analyzed 10 years of User and Geolocation Data from MongoDB and provided to stakeholders for use in formal Presentations, Grant Applications Writing, and general decision-making.-> Database Management- Maintained and analyzed MongoDB schema of progressive web application utilizing Google Places and Maps APIs for stakeholders and advised principles during PWC remake of application-> IT Consulting- Worked with team to find business and technology solutions for Israeli startups, including 50+ page report of actionable for traffic analytics company; lead COVID-19 research group during outbreak of pandemic.Seeking opportunities where I can use my knowledge of machine learning, data science, programming (python, R, etc), statistics, and critical thinking to contribute to and learn from a great team or mentor.I am respectful, honest and hardworking and have a desire to learn and also receive constructive criticism.Thank you for time and consideration.
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ConsultantDeloitte Jun 2024 - PresentWorldwide, Oo -
Solutions EngineerDeloitte Jul 2022 - Jun 2024Worldwide, OoEngineer with focus and experience in Data and ML Engineering.Client - Meta (Data Engineer - 1 year)- Developed, optimized, managed, and deprecated ETL pipelines, Hive tables, and their interactive dashboards using python and PrestoSQL- Created real-time dashboards and underlying pipelines for program impact analysis- Delivered data analysis to help improve A/B testing data collection strategiesOther:- Developed backend for React/Flask/Sci-Kit Learn application used for clustering analysis- Utilized AWS for Reinforcement Learning research -
Graduate Research StudentColumbia Engineering Jan 2022 - May 2022New York, Ny, UsDeep Quantum Reinforcement Learning Research Project -
Data Scientist And Game DeveloperRanforest May 2020 - Jun 2021RanForest() was a student-led organization of creative developers whose goal is to make learning topics such as math or programming fun through gaming and interactive programing.As Data Scientist and Game Developer at RanForest, I led backend development and data collection, involving Google Firestore database design, implementation, management, and analysis (specific focus in Swift / IOS).- Worked with team to provide estimated costs of using Firebase and GCP tools and discussed ways to lower costs in Coding design and document design- Created initial login and sign up views in SwiftUI, implementing Firebase authentication for credentials- Created and launched Firebase Cloud functions to send new user Authentication data to Firestore documents- Contributed design ideas for educational mathematics-based games- Aided in facilitating virtual zoom meetings with teammates and participated in VS code live sessions- Provided various Coding resources for teammates- Recruited valuable members to organization. -
Undergraduate Student ResearcherColumbia University In The City Of New York Jan 2021 - May 2021New York, Ny, UsAs an Undergraduate Student Researcher at Columbia University, I investigated the use of quantum variational circuits (QVCs) for DQN Reinforcement Learning and general Machine Learning tasks, under faculty supervision.- Used Cirq, Tensorflow Quantum to create Quantum Circuits of varying size (4-12 Qubits) and pure and hybrid QVC-based agents; compared to classical Tensorflow Keras models for use in DQN prediction tasks- Trained DQN agents using OpenAI gym environments, including BlackJack, CartPole, and FrozenLake- Created workflow in Colab Notebooks and GPU-enabled PC for Training and Recording more than 2000 episodes- Organized Research Results in formal reports; findings showed that Qubit could achieve higher rewards in fewer episodes but were prone to plateauing -
Undergraduate Research AssistantColumbia University Irving Medical Center (Neurology Department) Sep 2020 - Jan 2021New York, New York, UsAs undergraduate research assistant at Columbia University in the City of New York, I helped maintain backend and Database Development of CUMC Django application for Alzheimer Cohort Study.- Analyzed and Resolved Issues with remote environments on development servers, such as unnecessary memory consumption and Nginx proxy servers- Aided in Database Management by querying and editing multiple Neo4J instances to check relationship consistency, creating backups of Neo4J data, analyzing interaction with REDIS cache, and creating scripts for other teammates to use.- Performed ETL workflows from MSSQL to Neo4J and Data Integration tasks on remote servers using Pentaho Data Integration (PDI) -
CtoThe Iftach Group Jun 2019 - Jan 2021New York, Ny, UsThe Iftach Consulting Group is a student-led group of consultants that works with Israeli companies to assess how they could break into the respective American markets.- Analyzed data for other team members, for various projects in conjunction with the Israeli Economic Mission and Trade Minister for Israeli startups looking to expand into the U.S. market- Conducted research and analysis on market penetration for traffic analytics and optimization company Mobi, including leading team to analyze the effects of COVID-19 on prospects using available economic and traffic data, and presented findings to principles (CEO and CBO) as part of a 137 page document of actionable.- Provided research data on 10 years of labor costs, materials, environmental analysis, etc. to team members (via web scraping and data cleaning in R) for Orly Cactus; presented findings with Iftach Group to client and Trade Minister at Israeli Consulate.- Contributed to creative mockups for potential product design Orly Cactus- Contributed valuable technical research and analysis and created perceptual map for competitors analysis in presentation for Israeli facial recognition company, Booth Guru- Designed official group logo- Recruited and tasked new members on new initiatives, consulted with CEO and COO -
Data Science InternAxs Lab May 2019 - Jul 2020New York, UsAXS Lab is a non-profit that specializes in media and tech projects pertaining to disability rights and issues of accessibility. - Analyzed user, venue, and geolocation data from the database of their progressive web application AXS Map, creating complex queries and aggregated pipelines using MongoDB tools such as the Compass GUI and Charts tool. The data and analysis were used for critical project decision making and providing valuable statistics in grant writing. - Created a second mongoDB instance and various collections for testing purposes with pymongo- Advised and assisted on PWC pro-bono rebuild of AXS Map and participated in meetings between principles and PWC. Also informed on specific technical changes to AXS Map with regard to mongoDB- Exported and formatted user data from MongoDB and import into SalesForce- Created an asynchronous node.js puppeteer bot from scratch for testing purposes- Analyzed and created documentation (Readme files) for the AXS Map api and static web application framework from their respective GitHub repositories and relevant branches. Also, prepared available documentation on web application architecture from google drive. - Worked with Mail Chimp data using internal analytics and python (pandas and matplotlib). Also did data cleaning and importing, as well as sending email campaigns. - Aided in writing, editing, and researching grant applications. - Edited HTML files for website.
David Heagy Skills
David Heagy Education Details
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Columbia EngineeringComputer Science -
Columbia UniversityData Science
Frequently Asked Questions about David Heagy
What company does David Heagy work for?
David Heagy works for Deloitte
What is David Heagy's role at the current company?
David Heagy's current role is Consultant @Deloitte.
What is David Heagy's email address?
David Heagy's email address is dh****@****tte.com
What schools did David Heagy attend?
David Heagy attended Columbia Engineering, Columbia University.
What skills is David Heagy known for?
David Heagy has skills like R, Python, Html, Guitar Playing, Data Analysis, Java, Sql, Mongodb, Cascading Style Sheets, Latex, Graphic Arts, Lutherie.
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