Nikola Novakovic
VP - Quant Analytics Manager at JPMorgan Chase & Co.
Columbus, Ohio Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolNikola Novakovic is a VP-level quant analytics manager and machine learning engineer with 11 years of experience building, deploying, and maintaining production ML systems that improve operations and customer understanding. Currently leading clustering, classification, and time-series initiatives at JPMorgan Chase, he combines hands-on Python and TensorFlow modeling with cloud-native data pipelines on AWS and Airflow on GCP. His background spans startups and scale-ups—designing forecasting and delivery-rate models at ScriptDrop and contributing core backend features and audit logging enhancements in open-source Django projects. He has a pragmatist’s sense for product-driven architecture, having been an early engineer at multiple companies where he made critical architectural and revenue-impacting decisions. Nikola holds a master’s in Business Analytics & Data Science and maintains a practical focus on auditable, observable ML systems that bridge analytics and business value.
11 years of coding experience
8 years of employment as a software developer
Gimnazja '' Svetozar Markovic''Master's degree, Business Analytics & Data Science, Master's degree, Business Analytics & Data Science at Oklahoma State UniversityInformation Technology, Information Technology at University Of Information Technology,Subotica
English, German
Github Skills (6)
audit10
auditing10
python10
crud10
django10
json9
Programming languages (8)
Github contributions (5)
soynatan/django-easy-audit
Feb 2018 - Feb 2018
Yet another Django audit log app, hopefully the simplest one.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 1 PR, 5 comments in 3 days
Contributions summary:Nikola primarily contributed to the back-end logic of the Django audit log application. They added a new field to the model, updated signals, and added a diff feature. Their work involved modifying Django models and implementing functionalities to track and audit changes within the application. These changes demonstrate a focus on expanding the audit capabilities and improving the application's core functionality.
pythonauditdjangosimplestaudit-log
novarac23/ror-techfleet-class
Oct 2017 - Dec 2017
Contributions:56 commits, 45 pushes, 1 branch in 1 month
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