👨💻 Computer Vision Enthusiast 📸 | Turning Images into Answers 📊 | Let's Make AI Less Artificial 🤖✨
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Vellore Institute of Technology
Data Scientist
June 21, 2026 – Present
log-anomaly-detection-llm
March 9, 2026 – Present
Realtime log anomaly detection using TinyBERT with hyperparameter optimization using Optuna
View ProjectExploratory-Data-Analysis-Theory-Assignment
November 22, 2024 – November 22, 2024
This repository contains my Colab notebook demonstrating a model for the dataset assigned to me "bank_marketing_test.csv" using Python Code.
View ProjectFace_Comparison
September 20, 2023 – October 21, 2023
Creating a Web-app for Face Comparison
View ProjectLearning-Clustering
June 26, 2023 – June 26, 2023
Learning aggllomerative,neartest neighbour and dbscan methods of unsupervised learning
View ProjectHeart-Attack-Prediction
June 26, 2023 – June 26, 2023
Heart attack prediction using support vector classification.
View ProjectHouse-Price-Prediction
June 26, 2023 – June 26, 2023
House price prediction using random forest regression.
View ProjectCredit-Card-Fraud-Detection
June 26, 2023 – June 26, 2023
Practicing supervised and unsupervised learning to detect credit card fraud.
View ProjectSentiment-Analysis
June 24, 2023 – March 10, 2024
A streamlit app developed in python to perform sentiment analysis on text.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in data science, which aligns with a curious and self-driven culture. However, the projects are predominantly academic/exploratory, and there is limited evidence of collaborative work or real-world deployment beyond basic web app creation. The single listed 'experience' as a Data Scientist at Vellore Institute of Technology with a future start date and 'isCurrent: true' is ambiguous and lacks detail, making it difficult to assess professional cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.