Headline

BTech Student @ VBIT | Data Science & MLOps Intern | Building PlayerSync AI | AWS • Docker • Python • Streamlit

About

I am a Computer Science & Engineering student at VBIT specializing in Data Science, with a strong focus on the full data lifecycle—from data wrangling to model deployment. My technical foundation spans engineering predictive ML models, containerizing applications with Docker, and deploying pipelines on cloud infrastructure like AWS. I love taking complex, messy datasets and transforming them into clear, actionable intelligence that drives real-world decisions. Here is a quick snapshot of what I bring to the table: • Data Science & ML: Predictive Modeling, K-Means Clustering, Random Forests, EDA • Cloud & MLOps: Docker containerization, AWS EC2, Streamlit dashboards, Git/GitHub • Security & Architecture: Hybrid Cryptography (AES-256, RSA) and System Design Whether I am optimizing clustering engines or coordinating community initiatives, I approach every technical challenge with structural rigor and creative problem-solving. I am actively looking to connect with data scientists, tech leads, and recruiters for early-career opportunities in Data Science, Data Analytics, and MLOps. Let's connect or reach out at battubindu7316@gmail.com!

Location

Greater Hyderabad Area

Work experience

Machine Learning Intern at CodeAlpha, May 2026 - Present · 2 mos, • Built high-accuracy sales forecasting and car price prediction models by applying advanced regression and ensemble methods to structured datasets. • Enhanced overall model performance through robust feature engineering, data wrangling, and exploratory data analysis using Pandas, NumPy, and Scikit-Learn.

Core Engineer (MLOps Clustering Engine) at PlayerSync AI, May 2026 - Present · 2 mos, • Developed a production-grade machine learning pipeline using K-Means Clustering for advanced player behavioral analysis. • Containerized the complete pipeline using Docker and deployed it onto an AWS EC2 instance to ensure isolated, repeatable, and scalable execution environments. • Implemented an interactive Streamlit dashboard publicly hosted on Streamlit Community Cloud, giving non-technical stakeholders direct access to audit and interact with serialized machine learning models.

Education

Vignana bharathi institute of technology

BTech, Computer Science & Engineering (Data Science), Vignana bharathi institute of technology