My name is
Michael Natenzon
I work at the
of Data
and Web
And I Also
Coded This Website
Graduate of The Johns Hopkins University
Staff Data Scientist
BS, Materials Engineering
MBA, Enterprise Risk Management
I use SQL, Python, and BI tools to aggregate, analyze, and transform data into dynamic dashboards that help decision makers more easily navigate ambiguous questions and problems
I also build web and decentralized web applications (like this website) for fun

My Expertise

Is in leveraging data to help managers, directors, and executives improve their bottom line metrics and hit their KPI targets. From creating models that prevented $25 million in fraud losses per year at a top 10 US digital assets exchange, to building a 9-figure manufacturing company's first dashboard infrastructure for C-Suite execitives, my work product consistently delivers significant and measurable results across organizations.


Structured data and then conducted statistical analyses to find opportunities that prevented fraud losses, helped sunset loss-generating products, and led to new features to improve the customer experience

Integrated DataBricks and Keyvault with Azure SQL. Then built and managed SQL/Python ETL pipelines in DataBricks to ingest and structure data

Business<br />Intelligence
Business<br />Intelligence

Developed over 75 dashboards end-to-end across sales, marketing, customer support, fraud and manufacturing

Leveraged advanced PowerBI and Looker features to build interactive dashboards with what-if analyses, click-through links, and dynamic time-scales

Web<br />Architecture
Web<br />Architecture

Setup linux servers to run web app frontends and API backends

Coded and deployed web apps to the decentralized internet (IPFS)

Built SEO optimized React/NextJS applications

Professional Experience

Built SQL/Python based proactive fraud detection tools that have prevented $25 million in fraud losses to Gemini and its customers in 1 year. Owned the initiatives from inception through development, testing, deployment, and monitoring.

September 2023 – Present

Built critical Looker dashboards for loss reconciliation, customer support ticket reduction, fraud detection rule monitoring, and on-chain scam exposure review. Owned these projects from data ingestion through structuring and visualization.

July 2021 – September 2023

Built the company's first in-depth sales reporting dashboards - now being used by C-Suite executives to understand performance trends among sales reps, product lines, territories, and wholesale customers.

March 2020 – July 2021

Created a Python pipeline that applied statistical analysis to real-time measurements of materials' properties to help materials engineering PhDs reduce processing times of candidate materials from an hour to seconds.

September 2018 – May 2019

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
Personal Projects

Wrote the (Javascript) React frontend and (Python) Flask / SQL backend for an app that leverages NFC to make tracking progress towards goals as simple as tapping your phone to a sticker. Sign up at AutomateMe.Life

June 2022 – July 2023

Built a data charting application using Python, Flask, and Azure Functions to make it easy and scalable to convert excel data sheets into high-res jpeg charts.

November 2021 – February 2022

Leveraged APIs from Coinbase, Gemini, Binance, SolScan, BscScan, Etherscan, and Blockchair to turn BTC, ETH, SOL, ADA, DOT, and BSC wallet address inputs into an (excel doc) reconciliation of transactions, fees, gains, and losses - all priced in USD.

January 2021 – September 2021

Streamed data out of broker and Yahoo Finance APIs into SQL databases that powered real-time, highly customized investment discovery and review PowerBI dashboards.

June 2020 – December 2020

Built this website and stored it in the inter-planetary file system (IPFS) - a distributed data storage network. You can access this website through a decentralized domain like MichaelNatenzon.x by using a d-web compatible browser.

Firefox or Chrome Extension • Brave or Opera Browser
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

  • Effective Management
  • Managerial Decisions
  • Management of Technology/Operations
  • Managing Complex Projects
  • 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

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

August 2014 – May 2019

  • Characterization of Materials
  • Chemistry of NanoMaterials
  • Micro/Nano Structured Materials and Devices
  • NanoMaterials Lab
  • NanoWire 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

August 2014 – May 2019

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

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
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