Monish Santhakumar

• Proficient in utilising Visual Studio, Power BI, Anaconda, and Tableau for data analysis and visualisation projects.
• Demonstrated expertise in Microsoft Office suite, including Excel, for data manipulation and analysis tasks.
• Experienced in Python programming with a focus on implementing machine learning algorithms and data analysis.
• Masters's degree in Computer Science, with hands-on experience in various data analysis and machine learning projects.
• Eager to apply my skills and knowledge in a dynamic work environment, contributing to impactful projects and driving innovation.

Rapid Forest Fire Detection Using CNN | 2023

Developed an efficient forest fire detection system using

Convolutional Neural Network(CNN) technology. The project aimed to provide early identification of wildfires for prompt intervention, safeguarding ecosystems, wildlife habitats, and human lives. Trained the CNN model on a dataset of fire-affected and non-fire-affected areas, achieving a high accuracy of 90% in categorising images into " Fire" and "Neutral" classes. Employed transfer learning to enhance model performance by leveraging pre-trained CNN architectures, adapting them to the specific fire detection task. The project demonstrates potential for real-time forest fire detection, offering a valuable tool for monitoring and mitigating forest fire incidents.

Popularity and Analysis of Songs listened by Users using Spotify

Dataset | 2022

Using Spotify Dataset, build a model to show the popularity and analysis based on various features of the songs listened by the users.

Deep Learning Model for Agricultural Crop Analysis | 2022

A Webpage was created to identify crop decay, crop health and give suggestion for fertiliser and pesticide. We created a trained model using a CNN where the user-given image is detected by converting and comparing the images which are in matrix form.