
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SolarEnergyViz.tech
September 23, 2023 – March 19, 2024
How much can you make with Energy Buyback?
View Projectgit-badges-golang
December 29, 2022 – February 18, 2023
Show your GitHub stats with Shields.io badges
View ProjectOperatorAI
December 9, 2022 – August 20, 2025
When every second counts, trust AI to triage your call. $50K hackathon winner!
View Projectdiscord-actions-bot
December 20, 2021 – December 3, 2022
🤖 A Discord Bot that helps with Action Items.
View Projectfellowship-prediction
September 21, 2021 – October 1, 2021
Analyzes your GitHub Profile and presents you with a report on how likely you are to become the next MLH Fellow!
View Projectrosetta-commons-internship
May 17, 2021 – July 11, 2021
Summer 2021 Internship at RosettaCommons (Stanford Lab)
View Projectus-consumer-complaint
April 17, 2021 – June 25, 2021
University of Iowa Hackathon 2020 Project
View Projectharvard-CS50AI
September 16, 2020 – January 2, 2021
Set of solution implementations to Harvard's Artificial Intelligence Course (CS50AI).
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects and hackathons, indicating a self-starter attitude and passion for technology. However, the projects are predominantly individual or small team efforts, and there's no explicit information on collaboration within larger organizational structures. The diversity of projects (AI, bots, data visualization) suggests adaptability, but the lack of professional experience makes it difficult to assess fit within a structured corporate environment. The target role is Data Scientist, and many projects align with this, but the breadth of technologies used (Go, JavaScript, TypeScript, Shell) suggests a generalist developer profile rather than a deep specialization in data science tools and methodologies.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.