Arun Agarwal work email
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Arun Agarwal personal email
As a Data Science Master's student at UC Berkeley School of Information, I am passionate about applying my skills and knowledge to solve real-world problems and create value for businesses and society. I have a Bachelor of Science in Data Science from Temple University, where I graduated with Honors, Summa Cum Laude, and Distinction in Double Major. I also participated in several research projects in computational biology and biodiversity.Currently, I am a Data Engineer at Vanguard in their Technology Leadership Program, where I contribute to the development of a comprehensive data lake that facilitates cross-enterprise, self-service insights for key business units. I also lead the Archer Content API (CAPI) Initiative, which modernizes and streamlines the data ingestion process from Ballast Point, reducing costs and time to insights, and empowering risk teams to proactively manage their risk posture. Previously, I was an Application Developer at Vanguard, where I developed and automated over 15 Tableau visuals and dashboards for Access Monitoring, and used Python scripts to clean and process large datasets from Service Now. I also developed a front-end stock market simulation tool using ReactJS and Vanguard APIs, enhancing the user experience and engagement.I am passionate about data science and its applications, and I am always eager to learn new technologies, collaborate with diverse teams, and challenge myself with innovative projects. My goal is to use my skills and knowledge to make a positive impact on the world. I am currently seeking full-time Data Science opportunities.
Vanguard
View- Website:
- vanguard.com
- Employees:
- 25515
- Company email:
- privacy@vanguard.com
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Machine Learning EngineerVanguardPhiladelphia, Pa, Us
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Ai/Ml ExperimenterVanguard Apr 2024 - PresentValley Forge, Pa, UsTechnology Leadership Program (Rotation 2), Personal Investor Technology – CRM, The Vanguard Group- Collaborating with Team Aioli to develop Kore AI chatbots for Vanguard's Retirement Journey, improving call-time efficiency by saving phone assistants approximately 9 seconds per call across thousands of interactions- Actively pursuing the Professional Scrum Master I (PSM I) certification to enhance agile project management expertise and advance towards future technical leadership roles
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Data EngineerVanguard Aug 2023 - Apr 2024Valley Forge, Pa, UsTechnology Leadership Program (Rotation 1), Chief Data Analytics Office – Corporate Services Data Office:- Supported development of comprehensive data lake to cater to diverse data and analytics needs of key business units. The data lake facilitates cross-enterprise, self-service insights, offering a holistic view of Vanguard's risk posture- Led the Archer Content API (CAPI) Initiative, a modernized way of ingesting data from Ballast Point, replacing the outdated and inefficient Enhanced Reports. This initiative decreased time to insights, increased available data and data refreshes, and saved ~$6000 in costs, empowering risk teams to proactively present data through a risk lens to business leaders- Elevated codebase quality by implementing test coverage analysis (for entire pipeline), unit tests, and security enhancements- Successfully ingested 10+ data blocks and subforms using Python, AWS, SQL, and other services- Coordinated with business partners/stakeholders to create queries to use new data
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Application DeveloperVanguard Jun 2022 - Aug 2023Valley Forge, Pa, UsCollege-to-Corporate Program, Global Investment Financial Systems:- Developed over 15 Access Monitoring Tableau visuals and dashboards for nearly 180 usage datasets to highlight the untapped potential of this data to division leaders and to illustrate their capability to save the company millions of dollars- Leveraged Tableau API and server to automate data refreshing & publishing of workbooks, ensuring timely monitoring of user access for auditing purposes- Reverse engineered 11 Excel Power Queries—representing weekly reports from Service Now—and created Python scripts to clean datasets of over 45,000 data instances using APIs and lambda functions with CI/CD tools, removing single point of failure and streamlining data cleaning process- Collaboratively developed front-end of stock market simulation tool—using ReactJS and real-time stock data from Vanguard APIs—that educates Vanguard crew on safe and controlled investing and advances their stock trading skills
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Research Assistant For Mathematics And Computer Science CapstoneTemple University Jan 2023 - May 2023Philadelphia, Pennsylvania, UsAs part of my Mathematics and Computer Science Capstone, I conducted a comprehensive study on species richness for 835 islands in the Greater Caribbean region under Dr. Jason Gleditsch and Dr. Matthew Helmus. This involved the examination of 54 biogeographic and anthropogenic variables across different spatial and taxonomic scales, aiming to unravel the ecological mechanisms that produce them, their impact on an island's trajectory, and their influence on natural relationships. To achieve more realistic predictions of species richness than conventional statistical processes and to identify the most influential drivers of biodiversity in the Anthropocene, over 30 machine learning models were constructed and compared. The results revealed that ensemble-based learning methods exhibited the highest performance, achieving accuracy scores of up to 76.85%. In tandem with this, a relational database was developed using Python and SQLite, facilitating the seamless extraction, querying, and aggregation of 11 datasets crucial for our biogeographic model. -
Undergraduate Research Assistant For Center Of BiodiversityTemple University Jan 2022 - May 2022Philadelphia, Pennsylvania, UsThe monitoring of invasive pest populations requires the collection of a large amount of spatial data to evaluate the extent of its distribution and spread. Data is often collected by several agencies at the local, state, and federal levels; therefore, collections methods and the type of data collected vary. Thus, under the Integrative Ecology Lab in the Center for Biodiversity, I leveraged existing code built to aggregate and store 350,000 data points of Spotted Lanternfly (SLF) data from field surveys, and built a consensus dataset of the species’ distribution. To enhance the effectiveness and speed of response to invasive pests, I built a cyberinfrastructure to support the storage of SLF data, to run the code on the cloud, to deploy the resulting harmonized dataset for use by federal and state collaborators (USDA, PDA), and to facilitate modeling of future spread. Specifically, I leveraged advanced techniques in container deployment and continuous integration, successfully creating an efficient Docker container to execute data wrangling processes and to address challenges related to data storage.
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Icer Advanced Computational Research Experience For Students, InternMichigan State University May 2021 - Jul 2021East Lansing, Mi, UsInstitute for Cyber-Enabled Research (ICER)-Advanced Computational Research Experience for Students (ACRES)-Research Experience for Undergraduates (REU)Krishnan Laboratory for Computational Genomics and Biomedical Data Science, Michigan State University- Ten-week summer research experience in computational data science to participate in cutting-edge computational biology research; develop communication, collaboration, leadership, and research skills; and work on modern supercomputers - Wrangled heterogeneous datasets that capture ontological relationships between 30,000+ diseases and 20,000+ genes to discover novel disease-gene interactions through use of a NetworkX digraph and multiple Deep Learning models- Visualized various performance metrics from our disease-gene prediction model to highlight improvement of our novel framework over a baseline- Presented project discoveries at MID-SURE 2021 Symposium to 300+ students, faculty, and external audiences -
Convolutional Neural Network Research AssistantTemple University Jan 2021 - May 2021Philadelphia, Pennsylvania, UsUnder Dr. Longin Jan Latecki, I enhanced my understanding of Deep Learning, a form of machine learning that leverages neural networks with hidden layers called deep neural networks (DNNs). I harnessed the transformative nature of deep learning in assignments and projects to achieve advancements in computer vision. Specifically, I optimized the search tool for a local greeting card firm’s website by collaboratively constructing a Deep Neural Network, enhancing customer accessibility and driving sales growth. The training took place through an online medium—due to the pandemic—through Stanford University's Convolutional Neural Networks Course
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Teaching AssistantTemple University Jan 2021 - May 2021Philadelphia, Pennsylvania, UsFor the Mathematical Concepts in Computing 1 course at Temple University, I supported the head professor by managing a cohort of 27+ students on a daily basis throughout the semester. Additionally, I graded quizzes and exams, led and facilitated discussion in the Recitation sections, and held office hours every week to ensure effective student learning and academic progress.
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Cloud/Edge Computing Research AssistantTemple University Aug 2020 - Jan 2021Philadelphia, Pennsylvania, UsIn Dr. Jie Wu's laboratory, I collaborated with graduate students to develop an online job scheduler for cloud/edge computing clusters. We utilized machine learning techniques to significantly reduce the average job finish time. This role was limited due to the pandemic.
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Front End AssociateGiant Food Stores, Llc Jun 2019 - Jan 2021Carlisle, Pa, UsI worked seasonally as a front-end associate at my local grocery store, a fast-paced, high-volume establishment. In this role, I assisted customers with completing purchases, locating items, and enrolling in reward programs to enhance loyalty, satisfaction, and sales numbers. Additionally, I collaborated with team members in customer service and self-checkout, participated in stock control, and contributed to overall store upkeep efforts. My responsibilities included serving as a Cashier, Customer Support Specialist, Bagger, Self-Checkout Assistant, and Pandemic Safety Officer, with ongoing training for new and more complex positions within the store. -
Head Of Technical SupportYmca Of Greater Brandywine Jun 2018 - Jun 2019West Chester, Pa, UsRecognizing my own grandmother’s smartphone ineptitude, I voluntarily established and led over 24 older adults by holding weekly classes in modern technology, demonstrating new iOS features and MacOS technologies, to enhance their digital literacy. I aimed to communicate technical information in clear terms for non-technical individuals, facilitating a better understanding. To accomplish this, I created support documentation that empowered and enabled community members to independently expand their skills and troubleshoot issues, reducing reliance on the support team for resolutions. Furthermore, I initiated a problem-resolution program to ensure optimal customer satisfaction outside of regular class hours, enhancing the learning experience for community members.
Arun Agarwal Skills
Arun Agarwal Education Details
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Uc Berkeley School Of InformationData Science -
Temple UniversityData Science With Concentration In Computational Analytics
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Great Valley High SchoolHigh School Diploma
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Delaware County Community CollegeComputer Science
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Montgomery Community CollegeSpanish
Frequently Asked Questions about Arun Agarwal
What company does Arun Agarwal work for?
Arun Agarwal works for Vanguard
What is Arun Agarwal's role at the current company?
Arun Agarwal's current role is Machine Learning Engineer.
What is Arun Agarwal's email address?
Arun Agarwal's email address is ar****@****ple.edu
What schools did Arun Agarwal attend?
Arun Agarwal attended Uc Berkeley School Of Information, Temple University, Great Valley High School, Delaware County Community College, Montgomery Community College.
What skills is Arun Agarwal known for?
Arun Agarwal has skills like Leadership, Active Learning, Citizenship, Multivariable Calculus, Calculus, Microsoft Powerpoint, Customer Satisfaction, Discrete Mathematics, Microsoft Office, Java, Microsoft Word, Android.
Who are Arun Agarwal's colleagues?
Arun Agarwal's colleagues are Terry Thomas, Rashmi Rajendran, Jennifer Astheimer, Patrick Henderson, Raju Alleshwari, Kyle Kerner, Alena Chupas.
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