Shivam Chauhan

Aspiring Artificial Intelligence & Machine Learning Engineer

Ghaziabad, Uttar Pradesh, India

@shivamchauhan

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🎓 MCA at Ajay Kumar Garg Engineering College · Graduating 2026

About

MCA student with a strong foundation in Artificial Intelligence, Machine Learning, Data Science, Python, SQL, and Deep Learning. Has built projects in predictive modeling, NLP, computer vision, and data analysis, and is seeking an entry-level AI & Machine Learning Engineer role.

Education

MCA

Ajay Kumar Garg Engineering College

Artificial Intelligence / Machine Learning · 2024 – 2026
BCA

Kalka Group of Institution

2021 – 2024
High School

Royal Public School
Secondary

Royal Public School

Skills

<3 months

SQL RAG LLMs Keras Faiss Python Pandas Tf-Idf LangChain TensorFlow Embeddings Data Science scikit-learn Tokenization Data Analysis Deep Learning Computer Vision Machine Learning Transfer Learning Prompt Engineering text preprocessing Artificial Neural Networks Natural Language Processing Convolutional Neural Networks Generative AI (ChatGPT, Copilot, Gemini)

Tools / apps / platforms

<3 months

Git MySQL GitHub MongoDB VS Code Hugging Face Microsoft Excel Jupyter Notebook Microsoft Power BI

Projects

YouTube Chatbot using RAG ↗

Sentence Transformers, FAISS, LangChain, Hugging Face Qwen 2.5, Streamlit

Developed an AI-powered chatbot that answers questions from YouTube videos using Retrieval-Augmented Generation. Extracted transcripts, generated semantic embeddings, stored them in FAISS, and integrated LangChain, Hugging Face Qwen 2.5 LLM, and Streamlit for interactive Q&A and summarization.
Employee Burnout Risk Prediction ↗

Scikit-learn, Streamlit

Developed a machine learning model to predict employee burnout risk using workplace and behavioral features. Performed exploratory data analysis, feature engineering, preprocessing, classification, and built an interactive Streamlit dashboard for real-time prediction and visualization.
Breast Cancer Prediction using ANN ↗

TensorFlow, Keras

Built an Artificial Neural Network (ANN) to classify breast cancer as benign or malignant. Applied data preprocessing, feature scaling, train-test split, and model evaluation using Accuracy, Confusion Matrix, ROC-AUC, and Classification Report.
Fake News Detection using CNN ↗

TensorFlow, Keras

Developed a Convolutional Neural Network (CNN) model to classify news articles as real or fake. Performed text preprocessing, tokenization, sequence padding, and word embedding, and evaluated the model using Accuracy, Precision, Recall, F1-score, Confusion Matrix, and Classification Report.

Courses & certifications

Ultimate Job Ready Data Science Course
Ultimate Web Development Course
Data Analytics Bootcamp · Alex The Analyst
Complete Python Bootcamp

🎯 Hobbies & interests

Sports Analysis
Learning New Tech
Reading Books

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