Yuvraj Singh

Aspiring Data Engineer | Data Scientist

Bhopal, IN.

About

Highly motivated Computer Science student with a strong foundation in data engineering, cloud platforms, and advanced analytics. Proven ability to design, build, and deploy scalable ETL pipelines on Microsoft Azure, extract insights from large datasets, and develop data-driven applications. Eager to leverage expertise in Python, SQL, and various data tools to solve complex data challenges and contribute to innovative projects in a dynamic tech environment.

Education

VIT, Bhopal

Bhopal, Madhya Pradesh, India
→
B.Tech Computer Science (e-commerce technology) Grade: 8.09 CGPA

Certificates

Data Engineer Associate

Data Camp

Skills

Programming Languages & Databases

Python, PostgreSQL, Bash.

Data Libraries & Tools

Pandas, PySpark, Streamlit, RegEx, Airflow, Azure VM, Azure Redis, Azure Data Lake, Docker, Selenium-Stealth, PyFaker, Scikit-learn.

Technical Proficiencies

Web Crawling, Web Scraping, ETL Pipelines, API Integration, Automation Scripts, Data Modeling, Database Design, Snowflake.

Interests

Sports

Basketball (SGFI National-level Player), University Sports Council (Intra-college Leagues Planning & Execution).

Projects

Shopinion (BERT Sentiment Model Data Pipeline)

Summary

Engineered a fully automated, end-to-end ETL pipeline to autonomously handle the entire data lifecycle for a context-aware BERT sentiment model, addressing the challenge of acquiring a large-scale dataset of over 100,000+ product reviews from Flipkart due to robust anti-scraping measures.

B2B Website Cloud Data Pipeline and EDA

Summary

Designed, built, and deployed a scalable, fully automated, cloud-native ETL pipeline with a user-friendly trigger mechanism to acquire a 350k+ record B2B dataset for supply chain analysis, addressing manual collection infeasibility due to scale and anti-bot measures.

Outbreak Tracker

Summary

Developed a custom dataset and predictive application to address the unavailability of real-time, regional case counts for jaundice outbreaks, where standard diagnostics were insufficient.

Advanced Data Cleaning and Feature Engineering

Summary

Developed robust data validation and feature engineering pipelines to improve data quality and prepare datasets for advanced analytics.