Devansh Nayak

Detail-oriented AI Intern skilled in machine learning and data analysis. Developed and implemented AI models that optimize business processes and decision-making. Transformed raw data into actionable insights while enhancing algorithm efficiency. Thrives in fast-paced environments, demonstrating critical thinking and adaptability.

• AI-Powered Real-Time Misinformation & Deepfake Detector, Developed a full-stack web application capable of detecting misinformation in text, image, and video content using state-of-the-art deep learning models. Integrated explainability using SHAP to offer transparency into predictions., FastAPI, Hugging Face Transformers, Deep Learning (Vision Transformers, DistilBERT), Next.js, Tailwind CSS, Axios, Real-time detection, deepfake video analysis, image verification, text fact-checking, interpretability with explainable AI
• Medical Treatment Survival Analysis (MedSurvive Pro), Built an interactive survival analysis tool using clinical data to assist in treatment efficacy evaluation using Kaplan-Meier curves and Cox Proportional Hazards models., Python, Lifelines, Scikit-learn, Pandas, SHAP, Streamlit
• Customer Segmentation and Personalized Recommendation System, Developed a system that segments customers based on behavioral and transactional data to enable personalized recommendations and targeted marketing., Python, Scikit-learn, Pandas, NumPy, SQL, Matplotlib, Seaborn
• Customer Revenue Prediction Application, Designed a predictive application for Fintech investors to evaluate profitability of customer service products. Integrated customer segmentation based on purchasing behavior., Python, Scikit-learn, XGBoost, Pandas, NumPy, SQL, Streamlit
• Orbital Escape Game, Built an engaging maze-based game in Python using Pygame, where players control two orbs through complex levels with falling obstacles, dynamic animations, and immersive sound effects., Python, Pygame, Audacity/Freesound
• Python Mini Projects Repository, Collection of various Python mini-projects covering automation, file handling, games, and utilities to demonstrate Python scripting proficiency., Python, Automation Scripts, File I/O, Games, Utilities
• Fake News Detection Project, Developed an ML model to detect fake news using NLP techniques such as TF-IDF and classical ML models for binary classification., Python, Scikit-learn, NLP, TF-IDF, Logistic Regression
• Machine Learning Projects Repository, Comprehensive ML repository containing multiple projects including classification, regression, clustering, and applied machine learning., Python, Scikit-learn, ML algorithms, Data Analysis, Data Preprocessing

• Python (Advanced)
• HTML (Intermediate)
• CSS (Intermediate)
• C (Advanced)
• C++ (Intermediate)
• SQL (Advanced)
• JavaScript (Advanced)

Tools & Libraries: Scikit-learn, XGBoost, NumPy, Pandas, Streamlit, FastAPI, Hugging Face

Transformers, Pygame, Tableau (Beginner), Power BI (Intermediate)