Jordan Manoj

Kunnamkulam

Summary

Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy.

Overview

years of post-secondary education

Certifications

Languages

Work History

12.2022 - 03.2023

Developed wearable spinal monitoring belt with sensors for real-time tracking of bend angle, strain, and pressure
Integrated Android/iOS app for data analysis and personalized exercise routines, enhancing patient and doctor communication
Innovated treatment feature using implanted devices for pain management and corrective impulses, aiding recovery.

Education

B.Tech Artifcial Intelligence and Data Science - Artificial Intelligence

Karunya Institute of Technology And Science

Coimbatore

08.2021 - Current

Senior School Certificate Examination - Science

Ansar English School

06.2019 - 04.2021

Skills

Python

Websites

https://www.linkedin.com/in/Jordan Manoj

Certification

Coursera: Regression Analysis, Simplify Complex Data Relationships, Foundations of Data Science, The Nuts and Bolts of Machine Learning, Google Advanced Data Analytics Capstone, Go Beyond the Numbers: Translate Data into Insights

Projects

Intelligent Disease Detection System, Created a machine learning-based disease identification system, achieving high accuracy for diabetes, Parkinson’s, breast cancer, and heart disease from user input. Conducted comprehensive training and testing to validate model accuracy, showcasing proficiency in machine learning and data science methodologies. Applied advanced data preprocessing, feature engineering, and model evaluation techniques to optimize disease detection performance, demonstrating expertise in data science practices. Simple Converter, Engineered FileConverter with Tkinter GUI and TensorFlow integration for versatile file conversion (text, image, PDF), highlighting proficiency in machine learning and data science. Implemented conversion methods (text to PDF, image to PDF, PDF to image, PDF merging, PDF encryption) using FPDF, PIL, pdf2image, and PyPDF2 libraries, demonstrating strong data processing skills. Designed user-friendly interface with interactive widgets for seamless operation, showcasing expertise in front-end development alongside advanced machine learning techniques.

Software

TensorFlow

Agile Methodology

Timeline