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AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
client-go-basics
December 6, 2025 – December 6, 2025
client-go-basics — GitHub repository
View ProjectFireducks-vs-Pandas-AI-ML-Pipelines
April 12, 2025 – May 21, 2025
Fireducks-vs-Pandas-AI-ML-Pipelines — GitHub repository
View Projectfireducks-vs-pandas-EDA
April 12, 2025 – May 21, 2025
This repo benchmarks and compares Exploratory Data Analysis (EDA) and Data Visualization workflows using FireDucks and Pandas on large datasets. It demonstrates performance differences in filtering, grouping, sorting, and reading data—highlighting FireDucks as a blazing-fast alternative for modern data science pipelines.
View ProjectFireDucks-in-Finance
April 12, 2025 – May 24, 2025
A performance showdown between FireDucks and Pandas using a synthetic 10M+ row dataset. We benchmark real-world data operations — reading, filtering, grouping, and sorting — to see which library handles large-scale analytics faster
View ProjectFireducks-vs-Pandas-The-comparison-test
April 11, 2025 – May 21, 2025
Fireducks-vs-Pandas-The-comparison-test — GitHub repository
View ProjectIn-memory-database
April 6, 2025 – November 5, 2025
In-memory-database — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards self-learning and exploring new technologies, particularly in data analysis and Go programming. The focus on benchmarking data libraries (FireDucks vs. Pandas) aligns with a data-driven culture. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.