Enthusiastic Software Engineer with foundational skills in machine learning, data analytics, and cloud infrastructure. Proficient in Python, SQL and AWS. Completed projects in predictive modeling and data analysis, with hands-on experience deploying applications on cloud platforms. Eager to apply technical knowledge to solve real-world problems, and deliver data-driven solutions.
Customer Segmentation Analysis
01/01/24- 04/30/24
I developed a customer segmentation project using Python, Pandas, and Scikit-learn to analyze purchasing behavior. By implementing K-means clustering and visualizing segments with Matplotlib, I provided insights for targeted marketing strategies.
Face Recognition-Based Attendance System
08/01/24, 09/30/24,
I developed an automated attendance system using Python, OpenCV, and Flask. The system recognized student faces in real-time, logging attendance accurately. Utilized SQLite for efficient data storage and retrieval. This project streamlined attendance tracking, reducing manual errors. Successfully improved efficiency in educational settings.
EasyGo- Pharmacy Website
12/01/23 - 11/30/23,
I developed a responsive pharmacy website, EasyGo, using HTML, CSS, and JavaScript. It allows users to browse, search, and purchase medications, with account management features and an intuitive interface for seamless use across devices.
Ranked in the top 10 for creating adoption website for pets.
I created a sentiment analysis for restaurant reviews.