Full stack Developer | Data Engineer | Data Analytics
I am an undergraduate Data Science student at SLIIT.
I am passionate about the field of data engineering and eager to gain real-world experience by contributing to your company’s innovative projects while learning from industry experts.
And also , I'm a quick learner, and I'm an adaptable person, and I'm a good team player.If you are interested, send me an email. We can connect !!
Technologies used: Python, Pandas, Scikit-Learn, JupyterLab, Matplotlib
Built a machine learning model to predict the next day’s maximum temperature using historical weather data from NOAA (1970-present). Applied Ridge regression for predictive modeling and implemented feature engineering techniques to improve accuracy.
Technologies used: Python, PostgreSQL, Pandas, Requests, SQLAlchemy​
Project Overview: Developed a robust ETL (Extract, Transform, Load) pipeline to automate the collection and processing of weather data from public APIs, storing it in a PostgreSQL database for comprehensive analysis.​
Technologies used: Java/JavaScript/MySQL/HTML/CSS Developed a Fuel Station and Service Management System to optimize fuel distribution and streamline vehicle service operations.
Technologies used: React JS, Tailwind CSS, Express, MongoDB, Shadcn UI, Bootstrap
Building the WorkSync platform streamlines employee management, enhances task tracking, automates onboarding and offboarding, and improves overall operational efficiency.