Rinu Anil Jacob

Working on inventory management forecasting for spare parts using Time Series Analysis and Machine Learning Techniques. Worked on a computer vision project to build a predictive model for classifying face emotions from a huge dataset. Using Machine Learning for building a predictive model for Home loan default Finance improvements. Applying Computer Vision (CNN) for better agriculture practices in developing a deep learning model to predict the diseases associated with rice leaf and classifying them. Developing a predictive model using LSTM to discern human physical states through analysis of smartwatch sensor data.

Developed and executed more than 40 machine learning models for diverse programs and projects, employing data gathered from a range of raw sources. Showcased adeptness and leveraged advanced time series techniques to extract valuable insights from temporal data. Leveraged tools like scikit-learn and TensorFlow to streamline the hyperparameter tuning process. Present findings and insights to non-technical audience through seaborn, matplotlib, tableau, and PowerBI.

Spearheaded the execution of comprehensive electrical site works, including the installation and integration of Fire Alarm Systems (FAS), Public Address (PA) systems, lighting, and power layout.

Relevant courses: Programming, Probability, Random Processes & Numerical Methods, Linear Algebra & Complex Analysis, Communication systems, Electrical systems, Coding, Microprocessors and controllers, electronics

Topper in physics with 95%