Vamshi Sandugula

Vamshi Sandugula

Aspiring Data Engineer | Data Analytics & Cloud Enthusiast

Professional Summary

Vamshi Sandugula

Final Year Computer Science Student | Manipal Institute of Technology, Bengaluru

I’m a final-year Computer Science student with a minor in Computational Intelligence, aspiring to become a Data Engineer. I have a strong foundation in designing and building data pipelines, managing cloud infrastructure, and integrating machine learning models into production systems. My technical experience includes leveraging AWS services, Python, and SQL to develop scalable ETL workflows and create data-driven solutions that deliver actionable business insights.

I’m deeply passionate about transforming raw and complex data into meaningful insights that drive decisions. With a blend of analytical thinking and engineering skills, I aim to contribute to data-intensive projects that prioritize scalability, automation, and efficiency.

Tech Stack

Programming Languages

Python SQL

Data Engineering & ETL

AWS Glue Pandas NumPy

Databases

MySQL PostgreSQL MongoDB AWS Redshift

Cloud & DevOps

AWS (S3, EC2, Lambda, RDS) Git CI/CD

Machine Learning

Scikit-learn Jupyter Notebook

Visualization

Power BI Matplotlib Seaborn

Experience

Machine Learning Intern

DRDO Duration

Built end-to-end data pipelines for customer subscription prediction including data preprocessing, feature engineering, model training, and ROC-AUC evaluation.

Featured Projects

AWS Data Engineering Capstone

Designed and implemented a serverless data lake architecture on AWS to process and analyze global fisheries data from the Sea Around Us dataset.

RAG-Based Chatbot

Developed a Retrieval-Augmented Generation (RAG) based personalized chatbot to deliver accurate, grounded, and domain-specific answers.

Insurance Analytics Dashboard

Designed an interactive Power BI dashboard to convert raw insurance data into actionable insights for business decision-making.

Food Delivery Time Prediction

Implemented a data science pipeline to predict food delivery times using historical operational data and ML models.

Automated CSV-to-JSON Pipeline

Built an end-to-end, serverless data pipeline on AWS that automatically converts incoming CSV files into JSON format.