Cleaning the noise.
Predicting the future.
Data Engineering Intern specializing in ETL pipelines, Kaggle-sourced ML models, and polished UI/UX. Building systems that turn raw data into business intelligence.
About Me
I'm a 2nd year Computer Science student with a passion for turning raw data into actionable insights. Currently interning as a Data Engineer, I specialize in building ETL pipelines, training ML models and crafting polished user interfaces that make complex data accessible.
I believe great engineering is invisible — the best data pipelines just work, the best predictions feel obvious, and the best UIs get out of your way. I'm actively seeking opportunities where I can grow and contribute to impactful data-driven projects.
Selected Work
Projects that showcase my journey in data engineering and software development.
Sales Prediction ML Engine
Engineered a predictive pipeline using Kaggle datasets, focusing on feature engineering and noise reduction to forecast e-commerce trends. Achieved 89% accuracy through systematic data cleaning and hyperparameter optimization.
The Toolkit
Technologies and tools that power my data engineering and development work.
Programming Languages
Packages & Tools
Environment & BI
Education & Experience
Academic journey and professional development experiences.
Let's Work Together
I'm actively looking for data engineering and software development roles. If you think I'd be a good fit for your team, I'd love to hear from you.

