Professional portfolio of Anmol Tripathi — showcasing Data Science, Machine Learning, Deep Learning, Applied AI, analytics, and deployed ML systems.

Professional portfolio of Anmol Tripathi — Data Science, Machine Learning, Applied AI, and Agentic RAG systems.

Temporal Financial Due-Diligence Agentic RAG with SEC/XBRL, hybrid retrieval, Temporal RAG, GraphRAG, and grounded Qwen3 reasoning.

Graph-enhanced Agentic RAG for repository intelligence, change-impact analysis, test discovery, and verified safe code modification.

Evidence-grounded Agentic RAG platform for industrial root-cause investigation using Qwen3, BGE-M3, hybrid retrieval, LangGraph, verification, and human approval.

Production-oriented cricket ML portfolio featuring IPL and ICC World Cup forecasting, leakage-safe temporal validation, calibrated probabilities, model governance, historical backtesting, tournamen…

Simple RNN portfolio featuring electricity-demand forecasting, chronological validation, baseline comparison, and an interactive Streamlit application.

Twelve end-to-end LSTM projects covering forecasting, NLP, anomaly detection, attention, predictive maintenance, sensor analytics, ConvLSTM, evaluation, CI/CD, and interactive Streamlit deployment.

Six end-to-end BiLSTM projects covering text classification, named entity recognition, semantic matching, retrieval, code intelligence, attention, evaluation, CI/CD, and Streamlit deployment.

Thirteen fully executed end-to-end data science and machine learning projects with saved notebook outputs, validated results, reproducible Python 3.12/3.13 pipelines, models, figures, and business …

Ten end-to-end ANN projects covering classification, regression, fraud detection, risk scoring, customer value, optimization, computer vision, multi-output learning, embeddings, and Streamlit deplo…

Professional encoder-decoder AI portfolio featuring 5 deployed projects across Text-to-SQL, image captioning, Whisper ASR, data-to-text generation, and grammar correction, with Hugging Face models,…

Seven end-to-end CNN and computer-vision projects covering image segmentation, object detection, medical imaging, transfer learning, DenseNet, ResNet, VGG16, AlexNet-style CNNs, MobileNetV2, Grad-C…

Ten end-to-end Transformer projects covering NLP, retrieval, long-context QA, LoRA/PEFT instruction tuning, multimodal AI, Vision Transformers, CLIP, ONNX browser inference, and RAG—deployed throug…