PRANJAL PATEL

Final Year B. Tech Student | Machine Learning & Deep Learning Engineer

Phone | LinkedIn | Email

[email protected]

+91-8931900131

Jodhpur, IN

About

Highly motivated B. Tech Bioscience and Bioengineering student with a robust foundation in Machine Learning, Deep Learning, and Data Science. Proven ability to develop and deploy end-to-end AI/ML solutions, including predictive models, interactive dashboards, and natural language processing systems. Adept at leveraging Python, deep learning frameworks (LSTM, GRU, CNN, Transformers), and data manipulation libraries to solve complex problems and drive quantifiable results. Seeking to apply technical expertise and problem-solving skills in challenging roles within AI/ML or data science.

Education

Bioscience and Bioengineering

Indian Institute of Technology, Jodhpur

7.4/10 CGPA

Aug 2021 - May 2025

Courses

  • Introduction to Machine Learning
  • Data Structure and Algorithm
  • Introduction to Computer Science in C Language (with Lab)
  • Python Programming (with Lab)
  • Signal and Systems
  • Introduction to Electrical Engineering

Intermediate (Science)

JDSVM Prayagraj U.P Board

77.2%

Apr 2018 - Mar 2020

Matriculation (High School)

A. I. C. Gheenpur Prayagraj/U.P. Board

84.6%

Apr 2016 - Mar 2018

Certificates

Machine Learning with Python

Coursera

Data Structures

Coursera

C++ For C Programmers

Coursera

Python Programming

Coursera

Projects

Face Mask Detection

Dec 2024 - Feb 2025

Built a robust face mask detection system using Convolutional Neural Networks to accurately identify mask usage in images, addressing real-world application challenges.

Stock Price Prediction Dashboard

Aug 2024 - Nov 2024

Engineered an end-to-end system for real-time stock price forecasting and visualization, providing users with interactive data insights.

Text Summarization

Aug 2024 - Nov 2024

Created and fine-tuned models for both extractive and abstractive text summarization to generate concise and meaningful content.

Predictive Maintenance of Aircraft Engine using LSTM and GRU Neural Networks

Jan 2024 - Apr 2024

Developed a deep learning solution to predict aircraft engine failure within a specified time window, enhancing operational efficiency and safety.

Skills

Programming Languages

  • Python
  • C/C++
  • Java
  • SQL

Machine Learning & Deep Learning

  • CNN
  • RNN
  • LSTM
  • GRU
  • Transformer Models
  • Scikit-learn
  • PyTorch
  • Keras
  • NLTK
  • Hugging Face Transformers
  • Machine Learning (AI/ML)

Data Science & Analysis

  • NumPy
  • Pandas
  • Matplotlib
  • Data Structure and Algorithm
  • SQL (PostgreSQL)

Development Tools & Platforms

  • Jupyter
  • PyCharm
  • Visual Studio Code
  • Arduino IDE
  • MongoDB
  • MySQL
  • Git
  • GitHub
  • FastAPI
  • React.js
  • OOPS