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Software Development Manager at Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A strategic minded leader, with progressive experience in research, analytics, modeling, process improvement, machine learning, and developing backend applications. Organized, detail-oriented, driven, and takes initiative. Works well within a team environment; adept at delivering presentations and public speaking; excellent interpersonal, written and oral communication skills.
RWTH Aachen University
PhD, Materials Science
N/A – Present
Drexel University
BS and MS, Materials Science and Engineering
N/A – Present
Amazon
Software Development Manager
November 1, 2024 – Present
Arlington, VA · On-site
Amazon Web Services (AWS)
Software Development Manager
September 1, 2022 – November 1, 2024
Arlington, VA · Hybrid
Capital One
Senior Manager, Machine Learning
August 1, 2022 – August 1, 2022
Capital One
Manager, Machine Learning
August 1, 2019 – July 1, 2022
Capital One
Senior Machine Learning Engineer
August 1, 2018 – July 1, 2019
Capital One
Machine Learning Engineer
February 1, 2017 – July 1, 2018
NYC Data Science Academy
Teaching Assistant
February 1, 2017 – September 1, 2018
Online
NYC Data Science Academy
Data Scientist
July 1, 2016 – September 1, 2016
Greater New York City Area
TARGUS Management Consulting AG
Consultant
January 1, 2014 – June 1, 2015
Ratingen, Germany
Max Planck Institute for Sustainable Materials
Scientific Researcher / PhD Candidate
September 1, 2008 – June 1, 2013
Düsseldorf Area, Germany
Max Planck Institute for Iron Research
Scientific Researcher
February 1, 2008 – June 1, 2008
Düsseldorf, Deutschland
Congress-Bundestag Youth Exchange for Young Professionals
Grantee and Cultural Ambassador
August 1, 2007 – July 1, 2008
Köln, Aachen, Düsseldorf / Deutschland
Empa - Swiss Federal Laboratories for Materials Testing and Research
Research Assistant
April 1, 2005 – September 1, 2005
Dübendorf / Switzerland
Exponent Engineering and Scientific Consulting
Engineering Assistant
March 1, 2004 – September 1, 2004
Philadelphia, PA / USA
Drexel University
Research Assistant
May 1, 2003 – July 1, 2007
Philadelphia, PA / USA
Signal to Noise: Finding the Higgs Boson
September 1, 2016 – Present
- Kaggle competition to find signal in scientific data from CERN in the search for the Higgs Boson - Implemented logistic regression, random forest, and XGBoost machine learning models, as well as an ensemble of all three to classify observations as either signal or noise
The Restaurant Dilemma: Personalized Recommendations for Groups of People
September 1, 2016 – Present
- App creates restaurant recommendations tailored to a multiple user group based on our collaborative filtering and clustering models - Front end: Flask, Jinja2, CSS, HTML, Javascript, Google Maps API - Back end: Python, GraphLab for collaborative filtering and clustering, Yelp API
Automated Driving: How will it affect me?
August 1, 2016 – Present
A Shiny app allows users to explore fatal accident and transportation industry jobs data to see how the rise of automated driving might affect them
We run faster than you: Factors affecting marathon results
August 1, 2016 – Present
- Analyzed factors available in public race data to determine what affects marathon times - Web scraping in Python to obtain Swiss marathon results - Statistical analysis and visualization in R
The Pressure Cooker: Population Density and Crime
July 1, 2016 – Present
- Analyzed NYC crime data and census data to identify relationships between population density and crime rates - Population density in NY state has increased over the last 25 years - Crime rates in NY state have decreased over the last 25 years - In NYC counties, crime rates increase with population density - In counties outside NYC, an increase in crime rates appears with an increase in population density, but only up to 500 ppl/sq.mi, where it then appears to decrease - The first three points can all be true if the crime rates decreased uniformly for all counties or more for less densely populated counties
Amazon Web Services Solutions Architect Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
Developing Data Products
Coursera Course Certificates
June 24, 2026 – Present
Practical Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Regression Models
Coursera Course Certificates
June 24, 2026 – Present
Statistical Inference
Coursera Course Certificates
June 24, 2026 – Present
Reproducible Research
Coursera Course Certificates
June 24, 2026 – Present
Exploratory Data Analysis
Coursera Course Certificates
June 24, 2026 – Present
Getting and Cleaning Data
Coursera Course Certificates
June 24, 2026 – Present
R Programming
Coursera Course Certificates
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse background, including academic research, consulting, and various roles at large tech companies like Amazon and Capital One, indicates adaptability and a broad perspective. Their involvement in projects ranging from crime data analysis to Higgs Boson detection and personalized recommendations demonstrates intellectual curiosity and a willingness to tackle varied challenges. The transition from scientific research to data science and then to management roles suggests a growth mindset and ambition. However, the recent shift to Software Development Manager roles at Amazon might indicate a move away from hands-on data analysis, which could be a point of discussion for a Data Analyst role.
Soft Skills & Operational Fit
The candidate's experience in leading Agile teams, presenting technical content to C-suite executives, and facilitating discussions at international conferences suggests strong communication, leadership, and collaboration skills. Their background in consulting and research also points to a structured and analytical approach to problem-solving, which is beneficial for operational fit.