Maleesha-Dinujaya
About Me
My name is Maleesha Dinujaya
I am a passionate Machine Learning Engineer and Data Scientist, dedicated to bridging the gap between ideas and reality. With expertise in AI, Data Science, Full Stack Development, and Machine Learning, I thrive on solving complex challenges and developing innovative solutions. I am currently pursuing a BSc (Hons) in Information and Communication Engineering at SLTC Research University.Always eager to learn and experiment with emerging technologies, I specialize in building AI-driven applications, predictive analytics models, and scalable. Let's collaborate and create something extraordinary!
Skills
Data Science & Machine Learning
Skilled in applying AI and ML techniques to solve real-world problems, with a strong focus on predictive modeling and data-driven decision-making.
Database Management
Skilled in managing both SQL and NoSQL databases, including MySQL, and MongoDB. Experienced in writing queries, optimizing performance, and ensuring data integrity for efficient storage and retrieval.
Monitoring and Visualization
Experienced in monitoring system performance and visualizing data using tools like Grafana, Prometheus, and Power BI. Skilled in creating real-time dashboards and analytics to track key metrics and improve decision-making.
Projects
I am always exploring new ideas and building innovative solutions to solve real-world problems. My projects span across AI, machine learning, web development, and data analytics, demonstrating my ability to transform concepts into impactful applications. Here are some of the key projects I have worked on.
Developed a real-time face recognition-based attendance system that captures, identifies, and records student attendance using facial recognition technology. The system integrates with a local JSON database to manage student data and dynamically updates attendance records. It includes a
Face Recognition Attendance System
Renewable Energy Insights with Big Data
This project leverages Big Data tools like HDFS, MongoDB, and Dask to analyze renewable energy trends.
Electrical Vehicle Analysis using PowerBI
Analyzed electric vehicle trends using Power BI, focusing on sales, charging infrastructure, and market growth. Created interactive dashboards for data-driven insights and decision-making.