Summary
Overview
Work History
Education
Skills
Certification
Extracurricular Activities
Projects
Additional Information
Timeline
Generic

Priyesh Awadh

Bangalore

Summary

Motivated Electronics and Communication Engineering student with a passion for machine science, data analysis, and software development. Seeking an Applied Scientist Intern role to apply technical skills and drive innovation.

Overview

1
1
Certification

Work History

Participant

Amazon ML Summer School
  • Gained comprehensive understanding of advanced algorithms and tools for building machine learning models.
  • Gained real-world experience in AI applications, model training, and deployment.

Education

Bachelor of Engineering (B.E.) in Electronics and Communication Engineering -

Bangalore Institute of Technology
05.2025

Skills

  • Python
  • C
  • Reactjs
  • Nodejs
  • Scikit-Learn
  • TensorFlow
  • NLTK
  • Firebase
  • Pandas

Certification

Coursera Machine Learning Specialization, 2023

Extracurricular Activities

Rotaract Club of BIT
Club Service Director | 2023-2024

  • Directed club service initiatives and organized impactful events.

OS Code Community
Member | 2022-Present

  • Hosted and engaged in coding events and contributed towards promoting open-source.

Projects

Health Management System 

Tech Stack: React.js, Node.js, Firebase

  • Designed and implemented a web application to track and manage health-related data.
  • Working on features for data visualization, and personalized health insights.

Personalized Health Recommendation Engine(Ongoing) 

Tech Stack: Python, Scikit-Learn, TensorFlow

  • Creating a machine learning model to provide personalized diet and exercise recommendations.
  • Working on collaborative filtering and content-based algorithms to enhance recommendation accuracy and deploying the model as a REST API for integration with web applications

Real-Time Sentiment Analysis for Customer Feedback 

Tech Stack: Python, NLTK, Flask

  • Implemented a sentiment analysis tool to process and analyze customer feedback in real-time.
  • Used natural language processing techniques to classify feedback into positive, neutral, or negative sentiments.

Additional Information

-Proactively working on projects to advance skills in machine learning and data analysis

-Committed to developing practical applications with a focus on real-world impact

Timeline

Participant

Amazon ML Summer School

Bachelor of Engineering (B.E.) in Electronics and Communication Engineering -

Bangalore Institute of Technology
Priyesh Awadh