Hello,
My name is
Michael
Michael Natenzon
I work at the
Intersection
of Data
Business
Intelligence
and Web
Architecture
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.
Data
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
Intelligence
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
Architecture
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.
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