Summary
Overview
Work History
Education
Skills
Certification
Projects
Technical Languages
Workshop
Disclaimer
Timeline
Generic
Pradeep T

Pradeep T

Salem

Summary

Dynamic intern at TCS ION, adept in machine learning and data visualization, successfully developed an automated emotion detection project. Proficient in Python and skilled in collaboration, I leverage my technical expertise to drive impactful solutions in web development and data analysis. Passionate about harnessing technology for innovative outcomes.

Overview

1
1
Certification

Work History

Intern

TCS ION
  • Using machine learning, I did a project on automated detection of different emotions from textual commands and Feedback.

WE AND DATA
  • I have learned Data visualization using Power BI.
  • I've created a dashboard about Heart failure prediction in Power BI.

Education

B.Tech - Artificial Intelligence And Data Science

Karpagam College Of Engineering
Coimbatore, India
06.2024

Higher Secondary Certificate -

HOLY CROSS MATRICULATION HIGHER SECONDARY SCHOOL
Salem, India
01.2020

Secondary School Leaving Certificate -

HOLY CROSS MATRICULATION HIGHER SECONDARY SCHOOL
Salem, India
01.2018

Skills

  • Machine Learning
  • Deep Learning
  • Data Visualization
  • DevOps
  • Django
  • Web-Development
  • React
  • Python
  • SQL
  • HTML
  • CSS
  • Tableau
  • MySQL
  • Colab Notebook
  • VS Code
  • MongoDB
  • Power BI
  • Qlik

Certification

  • Google Data Analytics Professional Certificate, Google
  • Fundamentals Of Deep Learning, NVIDIA
  • QLIK Sense Business Analyst

Projects

  • Food Recipe Generator: YOLO Object Detection, Calories Chart, and Streamlit Integration A project that combines YOLO for recognizing food, a Calories Chart for nutrition details, and Streamlit for a user-friendly interface. It blends deep learning and web development to allow users to generate recipes from images and get calorie information.
  • Real-Estate-Marketing using React JS Created a website using React to help identify detailed descriptions of lands. This project provided an understanding of front-end development.
  • NUMBER PLATE DETECTION Used the OpenCV and Python-tesseract libraries to read and recognize text on images and license plates.
  • Hadoop Map-Reduce, Temperature Used mapper and reducer jobs to process input data. This aided in the analysis of the dataset's overall word count.

Technical Languages

  • Python
  • SQL
  • HTML / CSS

Workshop

  • Deep learning, NVIDIA
  • Fundamentals of Accelerated Data Science with RAPIDS, NVIDIA

Disclaimer

I hereby declare that all the information provided above is accurate to the best of my knowledge.

Timeline

Intern

TCS ION

WE AND DATA

B.Tech - Artificial Intelligence And Data Science

Karpagam College Of Engineering

Higher Secondary Certificate -

HOLY CROSS MATRICULATION HIGHER SECONDARY SCHOOL

Secondary School Leaving Certificate -

HOLY CROSS MATRICULATION HIGHER SECONDARY SCHOOL
Pradeep T