Scott Lee Email & Phone Number

New York, Ny, Us

Central Business District, Singapore, Sg

Currently, I help define our product strategy surrounding the publishing platform & the tools around it, including the wallet, hub, and other aspects of the ecosystem. I also lead investments/partnerships strategy with games for our publishing platform.

Los Angeles, California, Us

Advised the creation of a new business vertical - NFT's for Whatnot.Worked with engineering to build out NFT Marketplace by advising on technical design of database/custodial solutions & chains to integrate.Worked with partnerships to build out the NFT Marketplace + NFT product vertical by providing input into short/long term strategy + running product partnerships.

Chicago, Il, Us

Invested in crypto companies.Led the thought process for blockchain gaming investments - wrote thesis for blockchain gamingFocused specifically on blockchain gaming/infrastructure surrounding that/DAO's investments. Did research into companies, sourced deals, and talked to founders.

Boston, Ma, Us

Private Equity Group

Cupertino, California, Us

Drove internal product from data science perspective. Spoke with business partners and understood requirements, designed improved product workflow, and helped plan and implement new machine learning models.Mentored summer intern from 06/18-09/18Infrastructure: Re-architect entire platform flow to suit business needs. Used Java and Python tobuild ingestion pipelines, tools, and platforms to handle large streams of real-time data.Machine Learning: Worked with data scientists to implement models in production. Built an issue classification model using deep learning to classify text as potential issues.

Cupertino, California, Us

Project Manager for compliance with GDPR (European data privacy legislation) for the Apple Online Store

Cupertino, California, Us

• Data Manipulation and Analysis: Work with Spark (Pyspark and Java ML libraries) to handle large amounts of data. Perform analysis, draw conclusions, and present findings.• Infrastructure: Use Java and Python to build ingestion pipelines, tools, and platforms to handle intake of large streams of real-time data.• ML Spam Detection: Design and implement Machine Learning models to detect spammers/spam with high precision.• ML Issue Detection: Design and implement ML models to classify problematic posts and escalate them through a mobile app.

Cupertino, California, Us

• Big Data Insight (Full Stack Project)– Robust and dynamic tool to easily generate many different visualizations and perform analysis/anomaly detection on highly complex data.- Designed a front-end form GUI using HTML/CSS/JS. Outputs bokeh graphs with relevant information. - Query highly complex and enormous distributed database with SQL to generate aggregates. Store data into Hadoop HDFS. - Use Hive and HiveQL to generate hyper-aggregates. - Use Pandas/NumPy/SciPy to perform LOWESS regression and find confidence intervals for anomaly detection

Berkeley, Ca, Us

• Installation, setup, and support of network infrastructure for UC Berkeley campus• Ethernet switches, troubleshooting network problems, OSI layers model, TCP/IP, and Unix

El Segundo, California, Us

• Interactive Network Visualization Tool & GUI – Interface to a program that simulates a defense network with nodes and links. Used Traits package and subprocesses in python to create GUI. D3/JavaScript/HTML/CSS to create interactive force-directed graph to simulate network; used PHP as server for communication between GUI and graph, to allow deletion of nodes/links from graph and output in GUI.• Network Performance in Cloud Computing – Used OpenStack and AWS to perform extensive testing with both UDP and TCP, as well as iPerf, LookBusy, and other tools to simulate different scenarios and draw conclusions.

Master Of Business Administration - Mba

Doctor Of Law - Jd

Bachelor Of Science (Bs), Electrical Engineering And Computer Science

Summer, Law