Machine Learning Data Scientist
Resume:
Berkeley, CA
*****.******@*****.***
Franz Mornau
US Permanent Resident
linkedin.com/in/franz-mornau
github.com/franzmornau
With a broad perspective of users’ and organizational needs, I have a passion for identifying business requirements thoroughly, working closely with business stakeholders and engineers, to find close-fit, satisfying, and sustainable solutions. I am known for great communication skills and high attention to detail, often identifying unexpected root causes of data problems. I can help organizations and customers develop creative, well-governed, data-driven systems. Extensive experience conceptualizing, building, testing, and validating software systems from inception to production.
SKILLS
Software Engineering
Business requirements
Solutioning / Solutions Architecture
Product Management
Scrum, Software Design
Programming / Scripting / Libraries
Python, Java, Shell script
SQL, Oracle, PostgreSQL, MongoDB
Scikit-learn, NumPy, Pandas
DB Design
Data Analysis & Machine Learning
Classification, regression, clustering,
deep learning, NLP, time series
Statistics, Experiments Design
Hypothesis testing, A/B Testing
EXPERIENCE
OLAPLEX
Data Lead, Director
March 2022 – November 2023
Assembled and managed a new data/analytics team of 8 people, seamlessly bringing the data warehouse inhouse from an external consulting party
Successfully introduced a new requirements intake/solutioning process, using Scrum methodology
Managed requirements and solutioning for other departments’ data needs, including negotiating with external vendors
ULTIMA GENOMICS
Data Scientist R&D
September 2019 – June 2020
Built and maintained pipelines for deep learning / CNN analysis of instrument data according to the engineers’ requirements
Designed and built data infrastructure for internal use by engineers and researchers
Analyzed case data for researchers to enable interpretation, according to the researchers’ insight needs
MSG GLOBAL SOLUTIONS INC.
Principal Consultant, Product Owner
April 2012 – April 2019
Devised and designed automatized product data migration at Samsung Life Insurance
o5 persons did in 9 months what had been estimated to take 50 people 18 months
Managed product development of a testing tool for above process (for fully automated test setup) to product maturity
Worked on presales’ activities, clarifying requirements and developing and demonstrating prototypical solutions
FAKTOR ZEHN AG
Product Framework Architect, Process Designer, Tool Designer
2006 – 2012
Architected a tailored platform and a new configuration approach for the P/C-products of Vienna Insurance Group, working closely with its users in the division departments and IT department
Developed and implemented a process to bring insurance product configurations from the legacy system to the new system (transparent, standardized, test-driven, including tool support) that ensured business requirements were exactly met
EDUCATION
MS in Mathematics, University of Munich (Ludwig-Maximilians-Universität München)
Galvanize Data Science Immersive Program (San Francisco)
Projects
Galvanize, San Francisco, CA
(Data Science Fellow, May – August 2019)
Found collision patterns in Seattle traffic (capstone project, github.com/franzmornau/Traffic-Accident-Hotspots-and-Patterns)
Identified suspicious posts on an event marketplace website (case study, team project) by Gradient Boosting Classifier (github.com/franzmornau/fraud-detection-case-study)
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