Junru Ren
Data ScientistLet's put more dents in the universe!
mit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Let's put more dents in the universe!
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
mitdriverless
Data Scientist
June 25, 2026 – Present
mit
Data Scientist
June 25, 2026 – Present
Supply-Chain-Disruption-Game
February 19, 2026 – Present
A decision-support copilot for the Supply Chain Disruption Game. It tracks inventory, backorders, pipelines, and disruptions, recommends weekly Local/Overseas orders via base-stock policies, reconciles results, logs/export history, and includes Monte Carlo tuning plus a LaTeX algorithm report.
View ProjectMIT-EECS-AAGS
November 1, 2025 – Present
This tool is designed to help MIT EECS students quickly identify which subjects satisfy AAGS requirements when planning their course schedules.
View ProjectWrite-Out-Loud
April 11, 2025 – May 15, 2025
Class project for MIT 6.8510 Intelligent Multimodal User Interfaces
View ProjectLGO-2024-Summer-Team-Projects
August 1, 2024 – August 1, 2024
Workspace for 15.066 and 15.087 final projects
View ProjectFun-With-Arduino
August 7, 2016 – April 30, 2017
Making some fun Arduino projects once in awhile
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, with a strong focus on technical challenges. The 'MIT-EECS-AAGS' and 'Supply-Chain-Disruption-Game' projects show problem-solving initiative. However, the lack of team-based or collaborative project descriptions makes it difficult to assess cultural fit beyond individual technical contribution. The listed experience as 'Data Scientist' at 'mitdriverless' and 'mit' with future start dates (2026) and no end dates, combined with an experience level of 0, suggests these are either future roles, academic affiliations, or internships, rather than professional full-time experience. This creates ambiguity regarding actual professional experience and cultural exposure.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test scores are provided.