Divyansh Singh

About

Aspiring AI/ML Engineer with hands-on experience in machine learning, deep learning, NLP, and generative AI. Built practical AI applications using Python, LLM technologies, semantic search, RAG, and Streamlit deployment.

Education

• Bachelor of Computer Applications
  Prof. Rajendra Singh (Rajju Bhaiya) University
  Computer Science · Aug 2024 – Jun 2027

Skills

• SQL
• Deep Learning
• Python
• Machine Learning
• Prompt Engineering
• NumPy
• Pandas
• Streamlit
• scikit-learn
• PyTorch
• LangChain
• Natural Language Processing
• RAG
• LLMs
• Transformers
• XGBoost
• Embeddings
• Faiss
• Lightgbm
• CatBoost
• Shap

Projects

• Intelligent E-Commerce Customer Analytics Platform
  Python, Pandas, Scikit-Learn, XGBoost, LightGBM, CatBoost, SHAP, Streamlit

  Integrated 9 relational e-commerce datasets into a unified dataset containing 113K+ customer and order records. Performed data cleaning, EDA, feature engineering, customer segmentation, purchase prediction, CLV prediction, SHAP explainability, and built a Streamlit dashboard.

• Dynamic AI Knowledge Assistant — Automated Wikipedia RAG
  Python, LangChain, FAISS, Sentence Transformers, Ollama, Gemma, Streamlit, REST APIs

  Developed an automated knowledge pipeline using Wikipedia REST APIs, created embeddings, built FAISS vector indexes, and implemented an end-to-end RAG pipeline. Integrated Gemma 2B through Ollama and achieved high retrieval accuracy.

• Content Monetization Modeler — YouTube Ad Revenue Prediction
  Python, Machine Learning, Regression, Data Analysis, Scikit-Learn

  Developed a regression model to predict YouTube advertising revenue from channel and content metrics. Performed preprocessing, EDA, feature preparation, and evaluated models using R², RMSE, and MAE.

Courses & certifications

• Advanced AI & Machine Learning Program · HCL GUVI