Focus : Python, Machine Learning, Data Analysis, Data Visualisation
Specifications : Machine Learning
Skills
Python, Java, MS Office, Machine Learning, R, Power BI, Data Analysis, NLP, Backend Web Development (Django), SQL, Deep Learning, Statistical Analysis,Languages
English (Fluent), Malayalam (Intermediate), Hindi (Fluent), Tamil (Basic),Hobbies
Baseball, Cricket, Basketball, Trekking
Summary
Self-driven and enthusiastic individual with a passion for Machine Learning and Data Visualization. Proven ability to work under pressure, lead teams, and contribute effectively in a collaborative environment. Experienced in web development, proficient in multiple programming languages, and eager to apply these skills in research and industry settings.
Education History
Projects
Built a Deep Learning model to predict the tomato leaf disease based on CNN. The model was trained using PlantVillage dataset from Kaggle. This model was then integrated into a Django based web appllication wherein the users can upload images of affected leaves and get the prediction. There are various other features like marketplace, farmer community, buying options and so on.
Got an opportunity to do the statistical work for PhD students of Kozhikode Medical College, Kerala for their research paper. Used RStudio and Excel to perform various statistical tests and analysis. The report was presented in a word document.
Implemented Multiple Linear Regression in Java, including functionality to load datasets, calculate statistical measures, and evaluate the model's performance. This project showcased my ability to apply statistical techniques in a programming environment.
Developed an ML model to predict suitable crops for specific soil types. The project also involved building and integrating the model into a website, FarmKit, using the Django framework. Collaborated with a team to deliver a full-stack application aimed at improving farming decisions.
Created a website for college bus service bookings, primarily designed for weekend travel by students and faculty. This project enhanced my web development skills, including front-end and back-end integration.
Conducted data collection and analysis to understand canteen preferences among students at Christ University. The project involved data gathering through surveys and data analysis using statistical methods.