aspiring data scientist trying to balance tech, life and everything in between :)
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AutoPrune
April 20, 2026 – Present
A Self-Pruning Neural Network for Efficient Deep Learning
View ProjectGeneric-AI-Assistant-using-LLM-in-Comparison-with-Domain-Specific-AI-Assistant
April 20, 2026 – Present
Generic-AI-Assistant-using-LLM-in-Comparison-with-Domain-Specific-AI-Assistant — GitHub repository
View ProjectTraffic-Accident-Risk-Analysis
March 25, 2026 – Present
A data-driven traffic accident analysis and prediction system that identifies key risk factors and forecasts accident severity using machine learning.
View ProjectRetinoAI
March 24, 2026 – Present
Diabetic Retinopathy Grading via Hybrid CNN-RNN from Ultra-wide Retinal Photography.
View ProjectVisual-Truths
February 25, 2026 – Present
Detecting and Correcting Perceptual Bias in Inflation Graphs
View ProjectWattWise
February 5, 2026 – Present
A Hyper-Local Electricity Demand Forecaster using LSTM vs Prophet
View Projectllm-query-system
July 31, 2025 – August 3, 2025
LLM Query System – FastAPI LLM backend + Express API proxy for document-based Q&A on insurance policies.
View ProjectCultural Fit Analysis
The candidate's projects are primarily focused on AI/ML and data science, indicating a strong interest in these areas. However, the lack of professional experience and diverse project types beyond AI/ML might limit immediate cultural fit for a broader 'Software Engineer' role without specific AI/ML focus. The projects are all personal, which shows initiative but doesn't provide insight into team collaboration or professional development practices.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.