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Assessing your cultural and operational fit
FastAPI_Library_Management_System
January 18, 2024 – January 20, 2024
A Python backend with FastAPI and Docker. Features include adding/editing/deleting books, user checkouts, and tracking checked-out users. Ideal for full-stack applications.
View ProjectUnderwater-Waste-Detection-Using-YoloV8-And-Water-Quality-Assessment
May 5, 2023 – Present
Neural Ocean is a project that addresses the issue of growing underwater waste in oceans and seas. It offers three solutions: YoloV8 Algorithm-based underwater waste detection, a rule-based classifier for aquatic life habitat assessment, and a Machine Learning model for water classification as fit for drinking or irrigation or not fit.
View ProjectRoad-Segmentation-Using-FCN-8
May 1, 2023 – May 1, 2023
The project uses the FCN-8 architecture and VGG-16 pretrained model as backbone to segment roads on the KITTI dataset.
View ProjectLeetcode_Blind_75
October 28, 2022 – October 30, 2022
Leetcode_Blind_75 — GitHub repository
View ProjectData-Structures-In-Python
October 1, 2022 – October 27, 2022
Data-Structures-In-Python — GitHub repository
View ProjectMusic-Analytics-Streamlit-App
September 30, 2022 – September 30, 2022
Music-Analytics-Streamlit-App — GitHub repository
View ProjectHorror-Game-Web-Application
June 21, 2022 – June 21, 2022
A horror game which is based on interactive choices and let's you select your own story path.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data science and machine learning, which aligns well with a Data Scientist role. The diversity of projects, from environmental applications to web development, suggests a broad interest in technology. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit. The projects are primarily personal, which is common for candidates with limited professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.