Pursing B.Tech in Information Technology, Diploma in Information Technology.
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Assessing your cultural and operational fit
M.E.S Dr. K.M Pillai College of Engineering
Data Scientist
June 13, 2026 – Present
Ollama-Projects
December 11, 2024 – December 12, 2024
This repo will cover how we can set up and use Ollama, pooling and customizing models, Rest APIs, Python Integrations, Groceries Organizer, Rag System and AI Recruitment Agency
View Projecthacktober-codesnippet
October 8, 2023 – November 1, 2023
Add your code snippets in this Repository
View Projecthacktober-blog
October 7, 2023 – October 26, 2023
A repository for Non code contributions
View ProjectReal-Time-Sign-Language-Detection-with-Tensorflow
June 20, 2023 – June 26, 2023
Real-Time-Sign-Language-Detection-with-Tensorflow — GitHub repository
View ProjectSentiment-Analyser-Using-NLP
June 14, 2023 – June 17, 2023
Sentiment-Analyser-Using-NLP — GitHub repository
View ProjectFaceRecognitionProject
January 7, 2022 – January 8, 2022
Introduction Overview of the System The purpose of this system is to build an attendance system which is based on face recognition techniques. Here face of an individual will be considered for marking attendance. During each session, Faces will be detected from live streaming video or webcam. The faces detected will be compared with Images present in the dataset/folder. If match is found, attendance will be marked for the respective student. At the end of each session, list of present students will be marked and their name will be Inserted in the excel sheet on real-time basis. Traditional method of attendance marking a tedious task in many schools and colleges. It is also an Extra burden to the faculties who shown attendance by manual while calling the names of students Which might take about 5 minutes of entire session, face recognition is as important as biometric. Background: Existing System Conventional methods are still being followed to mark attendance in many schools and colleg
View ProjectCultural Fit Analysis
The candidate's projects show a breadth of interest in AI/ML, web development, and general programming, which indicates a curious and adaptable mindset. However, the projects are all personal and lack details on collaboration or team contributions. The single listed work experience as 'Data Scientist' starting in 2026 with no end date and marked as current is highly unusual and suggests a potential data entry error or future role, making it difficult to assess current professional cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.