Mickey Li

Data Scientist

https://talent.gravityer.com/mickey-li

Research Fellow at University College London on Drone Systems and Sensor Systems. PhD in Reliability Aware Multi-Drone Path Planning.

University College London

Key Strengths

Demonstrated proficiency in Python and C++ across multiple projects, which are foundational for Data Science roles.
Experience with ROS2, indicating familiarity with robotics and real-time data processing, potentially relevant for certain data science applications.
Exposure to machine learning concepts through the 'MinecraftAI' and 'yolo8_realsense' projects, aligning with Data Scientist responsibilities.
Familiarity with Docker, useful for reproducible research and deployment of data science models.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are predominantly personal and heavily focused on robotics and drone platforms, with some exposure to AI/ML. While demonstrating technical curiosity and initiative, the breadth of projects directly aligning with a typical 'Data Scientist' role (e.g., statistical modeling, large-scale data analysis, business intelligence, A/B testing) is limited. The current role as 'Data Scientist' at University College London is listed as current but without a start date, making it difficult to assess its relevance or depth. This suggests a potential gap in experience with diverse data science applications, which might impact cultural fit within a broader data science team.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

project_aerial_delivery

November 4, 2024 – December 12, 2024

project_aerial_delivery — GitHub repository

View Project

as2_robostack

October 26, 2024 – January 16, 2025

Repository for running aerostack2 in the robostack framework

View Project

yolo8_realsense

June 22, 2024 – June 22, 2024

yolo8_realsense — GitHub repository

View Project

pointcloud2_aggregator

March 11, 2024 – March 11, 2025

ROS2 Node which aggregates a PointCloud2 stream over a time window

View Project

project_pollibee

March 9, 2024 – June 7, 2024

Pollibee Project

View Project

TheForest

June 10, 2023 – Present

TheForest — GitHub repository

View Project

starling_simple_offboard

September 3, 2021 – November 30, 2021

Simple offboard controller in ROS2 for use with drones running mavros

View Project

starling_ui_dashly

August 23, 2021 – January 4, 2023

Control Panel for mission control for Starling project in ROS2 & Dash

View Project

clover_ros2_pkgs

May 13, 2021 – October 11, 2023

ROS2 port for key libraries for the Clover Drone Platform. https://github.com/CopterExpress/clover

View Project

MinecraftAI

March 25, 2016 – March 27, 2016

An ongoing project to use Neural Networks to play the game Minecraft!

View Project

Key Strengths

Demonstrated proficiency in Python and C++ across multiple projects, which are foundational for Data Science roles.
Experience with ROS2, indicating familiarity with robotics and real-time data processing, potentially relevant for certain data science applications.
Exposure to machine learning concepts through the 'MinecraftAI' and 'yolo8_realsense' projects, aligning with Data Scientist responsibilities.
Familiarity with Docker, useful for reproducible research and deployment of data science models.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Mickey Li

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit