Summary
Overview
Work History
Education
Skills
Projects
Certification
Languages
Timeline
Generic

Harsh Patel

Vadodara

Summary

A programming student proficient in Python, Java, and C++, with a knack for data structures and algorithms. Excellent communicator and collaborator, committed to continuous learning and eager to contribute to innovative projects.

Overview

1
1
year of professional experience
1
1
Certification

Work History

Data Science Intern

SlashMark
12.2023 - Current
  • During my three-month data science internship at SlashMark, I worked on various capstone projects. Starting with fundamental tasks, I progressed to more advanced projects that included machine learning, statistical modelling, and data analysis.
  • SlashMark's internship provided comprehensive exposure to key data science domains. The hands-on experience enabled me to apply theoretical knowledge to real-world scenarios while working with seasoned professionals to gain valuable insights into industry best practices.

Web Developer Intern

Raise Digital
12.2022 - 01.2023
  • Developed interactive prototypes using HTML, CSS, JavaScript, and jQuery for client presentations and feedback sessions.
  • Collaborating on various projects, I tackled challenges in UI design and delved into databases and server-side technologies. This internship not only enhanced technical proficiency but also applied knowledge in a practical setting, contributing to a well-rounded understanding of web development.

Education

Associate of Science - Computer Science

Parul University
Vadodara, India
04.2024

SENIOR SECONDARY (XI) -

SR Junior College
Nizamabad, India
2020

Skills

  • Python
  • C & C
  • Dart
  • Javascript
  • Machine Learning
  • Statistics
  • Cloud Computing
  • Power BI
  • Flutter
  • GIT
  • HTML & CSS
  • MySQL

Projects

Diabetic Retinopathy Screening - Feb. 2024 - Present

  • Convolutional Neural Networks (CNNs) are adept at analyzing retinal images for diabetic retinopathy by detecting patterns and features. Trained on extensive labeled datasets, they learn to identify characteristic signs like microaneurysms, hemorrhages, and exudates.
  • Utilizing CNN-based screening for diabetic retinopathy could automate diagnosis, hastening the process and improving efficiency in healthcare. This advancement promises early detection, enabling timely treatment to prevent vision loss in diabetic patients.


Emotion Detection using CNN - Dec. 2023 - Jan. 2024

  • I leverage the power of Convolutional Neural Networks (CNNs) to develop a robust emotion detection system, enabling accurate analysis of facial expressions for various applications, from human-computer interaction to sentiment analysis in social media.
  • By fine-tuning the CNN architecture and optimizing hyper-parameters, I aim to achieve high accuracy in recognizing a range of emotions including happiness, sadness, anger, surprise, disgust, fear, and neutrality.

Certification

  • Python for Machine learning & data science - Udemy Certification
  • Machine Learning Specialization - Coursera Certification
  • Cloud Computing - Parul University
  • Web Development - 1Stop.ai

Languages

English
Advanced (C1)
Hindi
Bilingual or Proficient (C2)
Gujarati
Upper intermediate (B2)
Telugu
Intermediate (B1)

Timeline

Data Science Intern

SlashMark
12.2023 - Current

Web Developer Intern

Raise Digital
12.2022 - 01.2023

Associate of Science - Computer Science

Parul University

SENIOR SECONDARY (XI) -

SR Junior College
Harsh Patel