I'm just a guy who loves coding
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
video-competitor-intelligence-and-report-generator
May 20, 2026 – Present
video-competitor-intelligence-and-report-generator — GitHub repository
View Projectflight-delay-prediction
April 21, 2026 – Present
Machine Learning System for Predicting Flight Delays with SHAP Explainability A production-ready ML application that predicts flight delays using LightGBM (80% accuracy) and explains predictions using SHAP. Features real-time weather integration, web interface, and comprehensive Jupyter notebooks documenting the entire ML pipeline.
View ProjectFinancial-causality-nlp
March 14, 2026 – Present
Financial News Causality Detection with FinBERT
View Projectswiggysense-ai-agent
March 3, 2026 – Present
Constraint-aware agentic AI system for intelligent food recommendation and Swiggy automation using LLMs and Playwright.
View ProjectRobust-android-malware-detection
February 12, 2026 – Present
Explainable ensemble learning framework for Android malware detection with SHAP interpretability and adversarial robustness evaluation (Published research implementation).
View ProjectFinancial_causality_detection_NLP
February 3, 2026 – Present
Financial_causality_detection_NLP — GitHub repository
View Projectface-mask-detection-deeplearning
November 13, 2025 – November 13, 2025
CNN-based deep learning model to classify face mask vs no mask using TensorFlow/Keras. Includes preprocessing, training, evaluation, and visualization inside a Jupyter notebook.
View ProjectSelf_Driving_car_Simluator_Using_RL
November 13, 2025 – November 13, 2025
A reinforcement learning–based self-driving car simulator built from scratch in Python with custom physics, sensors, road generation, and DQN training.
View ProjectWildfire-Detection-using-Satellite-Images
May 15, 2025 – May 15, 2025
This repository contains a deep learning project aimed at detecting wildfires from satellite images using Convolutional Neural Networks (CNNs)
View ProjectCultural Fit Analysis
The candidate demonstrates a strong passion for data science and machine learning through a diverse range of personal projects. The projects cover various domains (finance, healthcare, autonomous systems, security), indicating a broad interest and willingness to explore different applications of AI. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment. The focus on personal projects suggests a self-starter, but also a potential need for development in corporate team dynamics.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear and demonstrate initiative, but there is no information on collaboration, communication style, or problem-solving approaches in a team setting.