About
- Phone: Mobile
- City: Bengaluru, India
- Email: Drop a mail
- Freelance: Available
I am an aspiring data scientist with a master's degree in computer science, specializing in data science, from Rajiv Gandhi National Institute of Youth Development. My academic journey has been complemented by numerous certifications in data analytics, big data technologies, and deep learning. Through a combination of coursework and hands-on projects, I have honed my abilities in statistical analysis and machine learning techniques, applying them effectively to a variety of datasets.
My true passion lies in uncovering valuable insights from data and using them to drive innovation and enhance processes. I am driven to pursue a career as a data scientist in a dynamic, data-centric environment where I can actively contribute my analytical skills, domain expertise, and innate curiosity to make a substantial impact.
Skills
I'm a results-oriented grad student with a Data Science Master's under my belt. I've got a solid foundation in crunching numbers and using machine learning to make things happen.
Resume
"I am dedicated to pursuing a challenging and growth-oriented role in the field of data science, where I can leverage my exceptional analytical skills, technical proficiency, and extensive background in statistics and machine learning. My primary goal is to transform data into strategic business insights, elevating decision-making processes to new heights."
Education
Master of Computer Science & Data Science
2021 - 2023
Rajiv Gandhi National Institute Of Youth Development (RGNIYD), Sriperumbudur, Chennai
Relevant Course Work: Data Science,Data Structures and Algorithm, Programming in Python & R, SQL for Data Science, Data Visualization, Machine Learning, Deep Learning.
Bachelor of Computer Application (BCA)
2018 - 2021
GreenWoods Arts and Science College, Kasaragod (Kannur University)
- Specialized in the field of Computer Applications, C & C++ Programming Language, MySql, Web Application Development, Data Structures & Algorithms.
- Done a project on web application using PHP, HTML, CSS, JavaScript.
Academic Projects
Automated Golf Swing Analysis
Mar 2023 - July 2023
Associated with Rajiv Gandhi National Institute Of Youth Development (RGNIYD)
- Description: Automated golf swing analysis: A computer vision approach is a project that utilizes computer vision techniques to automate the analysis of golf swings. By capturing and processing video footage, the system extracts key swing parameters, such as speed, posture, alignment, and club path, to provide objective feedback on a golfer's technique. This approach aims to enhance the accuracy, efficiency, and accessibility of golf swing analysis for both amateur and professional golfers.
- Technologies Used: Python, Deep Learning, Computer Vision, CNN
Self Works
Image Classification Project with ResNet-50
Nov 2023 - Present
Predictive Model for Student Performance
Oct 2023 - Nov 2023
- Description: I successfully completed a project focused on developing a predictive model for student performance based on a diverse set of academic and extracurricular factors. The dataset included information for 250 students with various columns such as Exam Scores, Attendance, Study Hours, Social Activity, Gender, Homework Completion, Tutoring Hours, Health Score, Extracurricular Activities, and Performance categories.
- Technologies Used: Python, Predictive Analysis
Spam Classification
Aug 2023 - Sep 2023
- Description: In this project, we aim to develop a machine learning model that can accurately classify messages as either "spam" or "ham" (non-spam). We will leverage a dataset from Kaggle containing labeled examples of both spam and non-spam messages. Our primary objective is to build a predictive model that can help identify and filter out unwanted spam messages from legitimate communication.
- Technologies Used: Python, Machine Learning
Twitter Sentiment Analysis
Aug 2023 - Oct 2023
- Description: This project focuses on utilizing Natural Language Processing (NLP) techniques to perform sentiment analysis on built in dataset. The project finds out the accuracy of the prediction with the help of traditional Machine Learning algorithm.
- Technologies Used: Python, NLP, Sentiment Analysis