Diligent to make a career in tech, driven by the passion to code
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Assessing your cultural and operational fit
DTU
Software Engineer
June 15, 2026 – Present
MLOPs-End-to-end-Demo
July 29, 2023 – July 29, 2023
MLOPs-End-to-end-Demo — GitHub repository
View ProjectBTech-Major-Project
March 18, 2023 – March 26, 2023
Music Generation Using Deep Learning Techniques
View ProjectML-Explainations
September 10, 2022 – September 12, 2022
ML-Explainations — GitHub repository
View ProjectYelpcamp-practice
August 11, 2022 – August 11, 2022
Yelpcamp-practice — GitHub repository
View Projectfeynn-labs-project-2
June 22, 2022 – September 26, 2022
Market Segentation Analysis of EV Market in India
View ProjectSalary-Predictor
January 5, 2021 – September 26, 2022
First Data Science Portfolio project on predicting salaries on scraped data from indeed
View ProjectCultural Fit Analysis
The candidate's projects primarily revolve around data science, machine learning, and some basic web development. While demonstrating a breadth of interest, the depth in any specific area for a 'Software Engineer' role is not clearly established. The projects are all personal, indicating self-driven learning but lacking team collaboration context. The target role 'Software Engineer' is broad, and the candidate's project focus leans heavily towards data science/ML engineering rather than general software engineering principles (e.g., backend, frontend, distributed systems).
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and the only listed 'experience' is a future role starting in 2026, which suggests a very junior or student profile. No psychometric or English test scores are provided.