Ria Padalkar
Data Engineer Consultant at KPMG
- Role
- Data Engineer Consultant at KPMG US
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Ria Padalkar
Experienced Data Engineer proficient in RStudio, Python, SQL, and Machine Learning/AI technologies. Demonstrated expertise in the enterprise data lake big data banking industry with 3 years of experience with a specialization in Big Data Visualization, Hadoop, and HIVE within the context of the Enterprise Data Lake. Proficient in a wide range of tools and technologies including Microsoft Excel, Access, Management, Word, PowerPoint, Java, Azure, JavaScript, HTML, Python, and C++. Holds a Bachelor of Science (BS) degree focused on Business Analytics and Information Technology (BAIT) from Rutgers Business School-New Brunswick campus, as well as a Masters of Science (MS) degree in Data Analytics from the Boston University School of Computer Science. Additionally, holds a certification from GenAI from Google and Data Science from HarvardX.
Experience
Data Engineer Consultant
Jun 2022 — Present · New York, NY, US
Ranked first and raised ~40k in funding for idea in “FY23 Global Lighthouse IoT / Digital Twins / 5G Challenge” High level Data Security skills and threat prevention. Skills ranged from structuring SQL queries and mapping them to business requirements to building machine learning models and implementations usoing Python. Has an active clearance. Served as People Management Leader as well as Transition Coach for two new hires: Javier Belier & Christina Lin. Companies worked on worked for: MUFG Bank, Fidelity, KAMM(KPMG Cloud Migration services), Northwell Health, Santander, Google, Walmart, Juniper Networks, Lenovo, Vanguard, Department of Defense Counterintelligence Security Agency Current: Department of Defense Counterintelligence Security Agency
Education
John P. Stevens High School
High School Diploma, 9-12
2012 — 2016
Boston University
Master of Science - MS, Applied Data Analytics, GPA: 4.0
2021 — 2022
Rutgers Business School
Bachelor of Science (BS), Business Analytics and Information Technology
2016 — 2020
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