Dheeraj Chaudhari

About

Aspiring data engineer and machine learning professional with hands-on experience building data pipelines, backend APIs, and SQL-driven analytics systems. Experienced in data preprocessing, query optimization, and production-oriented workflow design.

Experience

• Python Developer Intern
  Qspiders
  Oct 2025 – Jun 2026
• Data Analytics Intern
  Anudeep Foundation
  Apr 2025 – Oct 2025
• Data Scientist Intern
  ScaleFull Technologies
  Dec 2024 – Feb 2025

Education

• B.E. Artificial Intelligence & Machine Learning
  Savitribai Phule Pune University (SPPU)
  Artificial Intelligence & Machine Learning · Nov 2022 – Jun 2026

Skills

• SQL
• Data Preprocessing
• Deep Learning
• FastAPI
• Python
• Machine Learning
• Prompt Engineering
• Django
• Feature Engineering
• Matplotlib
• Pandas
• PyTorch
• TensorFlow
• Seaborn
• NLTK
• ETL
• Natural Language Processing
• RAG
• Query Optimization
• LLMs

Projects

• Conversational AI Data Pipeline ↗
  Python, NLTK, RAG

  Built a text preprocessing pipeline (tokenization, stop-word removal, normalization) feeding a RAG-based chatbot, improving response accuracy by ~25%. Validated pipeline output across 50+ sample queries for accuracy and consistency.

• EDA & Data Cleaning Pipeline — Titanic Dataset ↗
  Python, Pandas, Matplotlib, Seaborn

  Built a data cleaning and transformation pipeline on 891 passenger records, handling missing values, outliers, and categorical encoding. Identified 10+ key feature relationships to support downstream model-ready datasets.

• RAG-based Q&A Pipeline ↗
  LangChain, FAISS, Python

  Built a document-to-vector data pipeline using LangChain and FAISS, ingesting and indexing 100+ document chunks with sub-2-second average retrieval time. Implemented a chunking and embedding pipeline to optimize storage and retrieval efficiency. Designed an end-to-end data flow from ingestion to embedding to retrieval to query interface, validated against ground-truth Q&A pairs.

Courses & certifications

• Agentic AI Foundations · Oracle University

🎯 Hobbies & interests

• Reading