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Python Developer | Data Analytics Enthusiast | Open Source Contributor | GSSoC'26
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Assessing your cultural and operational fit
underwater-image-segmentation
June 12, 2026 – Present
underwater-image-segmentation — GitHub repository
View ProjectSEPSIS-GUARD-AI
March 29, 2026 – Present
Sepsis Detection System Developed a predictive machine learning model to detect the early onset of sepsis in hospitalized patients by analyzing real-time clinical data (vital signs, lab results, and demographics). By identifying subtle physiological changes hours before clinical manifestation, the system serves as an early-warning tool to trigger
View Projectmedilink-
February 4, 2026 – Present
MediLink+ , a medical online portal for migrant workers in India
View ProjectNLP-Movie-sentiment-analysis-.-HANASH
December 29, 2025 – Present
Movie Review Sentiment Analysis Dashboard Developed a natural language processing (NLP) application that automatically classifies movie reviews as positive or negative. The project involved cleaning and preprocessing textual data (removing noise, tokenization, and vectorization using techniques like TF-IDF), training a classification model (such as
View ProjecthanashwanisMl_project
December 22, 2025 – Present
hanashwanisMl_project — GitHub repository
View ProjectObject_Detection
December 17, 2025 – Present
AI-powered object detection system using YOLOv8 and Python.
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong interest in AI/ML, which aligns with a Python Developer role, especially if the role involves data science or machine learning. The diversity of projects (medical, sentiment analysis, object detection) suggests a broad curiosity and willingness to explore different domains. However, without information on professional experience or team-based projects, assessing cultural fit beyond technical alignment is challenging.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication in a team setting.