
Hey! I'm someone who loves working with data and building smart solutions with it. I'm currently learning and exploring Machine learning & AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Fraud-Detection-MLOps-Pipeline
June 12, 2026 – Present
End-to-end MLOps pipeline for credit card fraud detection - real-time inference (FastAPI + Docker), CI/CD (GitHub Actions), Evidently drift detection, and automated retraining loop. avg_precision 0.83 on real Kaggle data.
View ProjectAI-Powered-House-Price-Prediction-Platform
June 5, 2026 – Present
AI-powered House Price Prediction Platform that estimates property values using XGBoost and LightGBM, featuring advanced data cleaning, feature engineering, SHAP-based explainability, interactive analytics dashboards, and Streamlit deployment.
View ProjectPublic-Transport-delay-Analysis
June 3, 2026 – Present
Production-ready machine learning pipeline for predicting public transport arrival delays using weather, traffic, and event data, featuring a Scikit-Learn Pipeline, Random Forest Regression, and Streamlit dashboard.
View ProjectAgriFuture-INDIA
June 2, 2026 – Present
🌾 AI-powered agri-tech platform | Crop Recommendation · Plant Disease Detection · Market Forecasting · AgriDrone V2 · Digital Twin · AgriBot | Python · ML · Deployed on Render
View ProjectDeepfake-detector
March 16, 2026 – Present
Detect AI-generated face manipulations in real time — with visual explanations showing exactly where the model found tampering. Supports images, videos, and live webcam. Powered by EfficientNet-B4 and Grad-CAM XAI.
View ProjectRAG-QA-System
March 15, 2026 – Present
Ask questions across your documents using local LLMs — no data leaves your machine. Multi-format support, FAISS vector search, streaming responses, chat history, and multi-model switching. Built with LangChain, FastAPI, and Streamlit.
View ProjectNikhil-Sharma-portfolio
August 20, 2025 – Present
Nikhil Sharma – Machine Learning Engineer & Data Analyst portfolio showcasing AI/ML projects, data‐science analyses, and modern web design (glass‐morphism, dark mode, micro‐animations) built with Vite & Tailwind.
View ProjectEmail-spam_classifier
November 18, 2024 – Present
Classify emails as spam or ham — and see exactly why. X-Ray mode highlights spam/ham keywords with per-word impact scores powered by Naive Bayes log-probability. Single email, batch upload, and model insights in one Streamlit dashboard.
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong initiative in personal projects, covering diverse areas like fraud detection, house price prediction, public transport analysis, agri-tech, deepfake detection, RAG systems, and spam classification. This breadth of interest and self-driven learning aligns well with a culture that values continuous improvement and innovation. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong focus on practical implementation and deployment, which suggests a results-oriented approach.