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Assessing your cultural and operational fit
MLOps_Price_Prediction
March 8, 2026 – Present
MLOps_Price_Prediction — GitHub repository
View Projectsimply_todo
June 5, 2025 – June 5, 2025
A simple, elegant, and responsive To-Do List web application.
View Projecttanisque_here.github.io
April 27, 2025 – May 8, 2025
tanisque_here.github.io — GitHub repository
View ProjectDocVision-AI-Assistant
April 10, 2025 – April 10, 2025
DocVision-AI-Assistant — GitHub repository
View Projectparkinsons_disease_detection
March 12, 2025 – March 12, 2025
A machine learning model predicting Parkinson's disease based on vocal features.
View ProjectSentiment_Analysis
February 13, 2024 – February 13, 2024
Sentiment_Analysis — GitHub repository
View ProjectFetal-Health-Monitoring-Application
August 9, 2023 – March 11, 2024
The objective of this project is to study the precision of machine learning algorithm techniques on Cardiotocograph(CTG) data in identifying high-risk fetuses.
View ProjectAnime_Recommendation
February 12, 2023 – February 12, 2023
Anime_Recommendation — GitHub repository
View ProjectCultural Fit Analysis
The candidate's portfolio consists entirely of personal projects, showcasing self-motivation and initiative in learning and applying various technologies. The diversity of projects (MLOps, web development, AI assistants) suggests adaptability and a broad interest in technology, which could contribute positively to a dynamic team environment. However, the lack of team-based or professional experience makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, indicating a focus on technical output.