Rogue Leader of Red Squadron Delta
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
dotlas | UC Berkeley
Data Scientist
June 19, 2026 – Present
santander-mlops
February 10, 2024 – February 15, 2024
A project designed for showcasing the streamlining and automation of machine learning projects.
View Projectmids_machine_learning
December 26, 2023 – April 16, 2024
🤖 A unified repository of coursework fragments from UC Berkeley MIDS ML courses
View Projectsnowplough
October 22, 2023 – December 15, 2023
🏂 A machine learning model that performs topic classification of news articles for media bias analysis. Final project for UC Berkeley MIDS 266 (Natural Language Processing)
View Projectadvent-of-code-2022
December 4, 2022 – December 26, 2022
🎄 A repository to share advent of code 2022 solutions
View Projectleafydex
September 17, 2022 – December 10, 2022
🍃 Code, studies, and explorations on plant leaf diseases and leaf type classifications. Final project for UC Berkeley MIDS 207 (Machine Learning)
View Projectcoding-bootcamp
September 10, 2019 – May 5, 2020
:school_satchel: The Coding Bootcamp programming workshop organized by ACM
View Projectopenlib.cs
June 14, 2019 – August 23, 2024
📚 A Collection of Free & Open Resources for University Coursework in Computer Science.
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and academic, with a strong focus on machine learning and data science. The current role as 'Data Scientist' at 'dotlas | UC Berkeley' aligns with the target role. However, the lack of diverse project types or team-based professional experience outside of academic settings limits the assessment of broader cultural fit. The experience level is listed as 0, which contradicts the current full-time role starting in 2026, suggesting a potential data discrepancy or future role. This makes it difficult to fully assess cultural fit for an immediate senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The provided data primarily focuses on technical projects and academic background.