Hello,
My name is
Michael
Michael Natenzon
And I
Work in
Data Science
Academically Researched
NanoTechnology
Studied
Enterprise Risk Management
And I Also
Coded This Website
Graduate of The Johns Hopkins University
Senior Data Scientist
BS, Materials Engineering
MBA, Enterprise Risk Management
I transform data into analytical dashboards that help decision makers more easily navigate ambiguous questions and problems.
I also build web and decentralized web applications in my spare time

My Experience

Spans across various disciplines and work environments, ranging from building an online business to working with an international non-profit to helping a manufacturing company improve efficiency and a digital assets exchange reduce fraud.
My takeaway has been that every employee has the potential to create significant impact when provided access to the right information in a dynamic and explorable format.

API Ingestion and Data Aggregation
API Ingestion and Data Aggregation
API Ingestion and Data Aggregation

Integrated DataBricks and Keyvault into Azure SQL database infrastructure

Built and managed Python ETL pipelines in DataBricks

Aggregated and structured data from external APIs

Statistical Analysis and Machine Learning
Statistical Analysis and Machine Learning
Statistical Analysis and Machine Learning

Applied statistics and ML techniques including random forests, regression, and ensemble learning to identify patterns of unusual customer behavior for RMA and fraud analyses.

Performed cross-validation to test out of sample model performance and applied ROC/AUC analyses to fine tune parameters that optimize the tradeoff between true positive and false positive rates.

Dashboarding and Visualization
Dashboarding and Visualization
Dashboarding and Visualization

Converted the outputs of complex data transformations and analysis into concise, interactive dashboards in Looker and PowerBI.

Developed over 50 dashboards end-to-end across sales, marketing, customer support, fraud and manufacturing.

Business Experience

Recognized promising IP within a JHU research lab, pitched to the inventor, and was hired to identify customers, develop a business model, and create a commercialization strategy. The evidence-based findings shifted the project's direction and led to new responsibilities involving digital modeling with Solidworks® and prototyping with 3D printers.
June 2018 – May 2019

Led a team of MBA candidates helping JHU inventors assess the patent landscape and market feasibility of their medicalgrade brain scanner; the prototype will now be designed with a focus on solving target customers’ core challenges.
January 2018 – May 2018

Recognized promising IP within a JHU research lab, pitched to the inventor, and was hired to identify customers, develop a business model, and create a commercialization strategy. The evidence-based findings shifted the project's direction and led to new responsibilities involving digital modeling with Solidworks® and prototyping with 3D printers.
June 2018 – May 2019

Led a team of MBA candidates helping JHU inventors assess the patent landscape and market feasibility of their medicalgrade brain scanner; the prototype will now be designed with a focus on solving target customers’ core challenges.
January 2018 – May 2018

Led a team of MBA candidates helping JHU inventors assess the patent landscape and market feasibility of their medicalgrade brain scanner; the prototype will now be designed with a focus on solving target customers’ core challenges.
January 2018 – May 2018
Engineering Experience

Paired statistical analyses with various Python libraries to create a pipeline that could extrapolate the performance metrics of candidate materials in real time, while their properties were being recorded. This helped materials engineering PhDs optimize a series of data handling steps, minimizing processing times from an hour to seconds.
September 2018 – May 2019

Prototyped components for industrial applications using Solidworks® and MakerBot 3D printers
September 2018 – May 2019

Led a team of four engineering students to leverage optimization tools in MS Excel to improve the yield and the electrical properties of piezoelectric nanowire arrays – used for applications in nerve implants and micro- power generators.
June 2016 – May 2017

Optimized the data cleansing and analysis process for researchers exploring brain-to-computer interfaces by organizing and leading a team that built a Python-based, EEG (electroencephalogram) brain signal processing pipeline.
June 2016 – December 2016

Founded a platform to connect university students based on their courses, enabling for more diverse and effective study groups.
November 2014 – May 2015
Johns Hopkins University
Carey Business School

  • Ethical Leadership
  • Governance and Accountability
  • Negotiation
  • Power and Politics

August 2017 – May 2019

  • Business Analytics
  • Big Data Machine Learning
  • Data Analytics
  • Data Science and Business Intelligence
  • Quantitative Methods

August 2017 – May 2019

  • Foundations of Management and Organizations
  • Effective Management
  • Managerial Decisions and Behavior
  • Management of Technology
  • Managing Complex Projects
  • Operations Management
  • Solving Organizational Problems
  • Strategic Communication

August 2017 – May 2019

  • Entrepreneurial Ventures
  • New Product Development
  • Discovery to Market
  • Innovation For Humanity

August 2017 – May 2019

  • People and Markets
  • Competitive Strategy

August 2017 – May 2019

  • Financial Modeling and Valuation
  • Financial Resources I
  • Financial Resources II

August 2017 – May 2019
Johns Hopkins University
Whiting School of Engineering

  • BioMaterials
  • Electrical Properties of Materials
  • Electrical Properties Lab
  • Kinetics and Phase Transformations
  • How Advances in Materials Science Shape the World
  • Mechanical Properties of Materials
  • Mechanical Properties Lab
  • Structure of Materials
  • Thermodynamics of Materials

August 2014 – May 2019

  • Characterization of Materials
  • Chemistry of NanoMaterials
  • Micro/Nano Structured Materials and Devices
  • NanoMaterials Lab
  • NanoWire Undergraduate Research
  • Senior Design Capstone Project

August 2014 – May 2019

  • Calculus I
  • Calculus II
  • Calculus III
  • NanoMaterials Lab
  • Linear Algebra and Differential Equations
  • Probability and Statistics for Engineers

August 2014 – May 2019

  • Computation and Programming for Engineers
  • Gigantic Calculators for Materials Engineering
  • Neurological Data Design
  • Neural Network Modeling for Learning, Language, and Cognition

August 2014 – May 2019

  • Chemistry Lab I & II
  • Materials Chemistry
  • Organic Chemistry I & II
  • Organic Chemistry Lab I & II
  • Physics I & II
  • Physics Lab I & II

August 2014 – May 2019

  • Culture of the Engineering Profession
  • Leadership and Management in Engineering
  • Professional Communication for Science, Business, and Industry

August 2014 – May 2019
Michael Natenzon. All rights reserved.
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