Deepak singh Chouhan

B.Tech Student in Artificial Intelligence and Data Science

Jaipur, RajasthanArtificial Intelligence, Machine Learning, Data Science and Analytics
3roles
34skills
1education
9credentials

About

B.Tech student specializing in Artificial Intelligence and Data Science with hands-on experience in data cleaning, exploratory analysis, visualization, machine learning model development, and RAG-based AI systems.

Experience

Data Analyst

Vodafone Idea Foundation

Sep 2025 – Oct 2025 · Remote

Cleaned, transformed, and analyzed datasets using Excel, SQL, and Python; built dashboards and reports in Power BI and Tableau; applied statistical analysis to identify trends and anomalies; identified patterns and correlations across large datasets to support data-driven decision-making.

AI & Cloud Technology Intern

Edunet Foundation

Sep 2025 – Oct 2025 · Remote

Built end-to-end machine learning prototypes and explored cloud integration techniques; analyzed a Netflix dataset using Python, Pandas, Matplotlib, and Seaborn; explored algorithms and cloud integration for scalable computing architectures and AI methodologies.

Developer & Tester

Internship Studio

Aug 2025 – Oct 2025 · Remote

Developed and tested machine learning models for classification and prediction; enhanced model performance through data preprocessing and algorithm tuning; automated unit and integration testing in Python to improve deployment reliability.

Education

Arya College of Engineering, Jaipur, Rajasthan

B.Tech, Artificial Intelligence and Data Science

2027

CGPA: 8.6

Skills

Machine LearningExploratory Data AnalysisStatistical AnalysisData PreprocessingModel Training & TuningRetrieval-Augmented Generation (RAG)PythonSQLJavaScript (ES6+)C++CJavaPandasNumPyMatplotlibSeabornPower BITableauExcelMySQLSQLiteChromaDBDjangoFastAPIReact.jsREST APIsDockerAWS EC2/S3NetlifyVercelGit/GitHubVS CodeJupyterPostman

Projects

Netflix Data Analytics Project

Applied data preprocessing and exploratory data analysis in Python to visualize genre, rating, and content-growth trends; extracted insights on user preferences and content distribution.

Enterprise RAG-Based Knowledge Assistant

Built a RAG chatbot for natural-language Q&A over uploaded PDF, DOCX, and TXT documents using chunking, embeddings, ChromaDB, semantic search, Groq Llama, React, LangGraph, Docker, and AWS EC2/S3.

Student Wellness Chatbot

Developed an interactive Streamlit web app supporting student mental health by collecting inputs and delivering personalized insights on stress and productivity.

Sign Language Converter Tool

Built a real-time sign language recognition system using Python and computer vision to detect and classify hand gestures, train models, and convert gestures into text output.