PRANJAL PATEL

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

Indian Institute of Technology, Jodhpur

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Bachelor of Technology (B. Tech)

Bioscience and Bioengineering

Grade: 7.4/10 CGPA

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

JDSVM Prayagraj U.P Board

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Intermediate

Intermediate (Science)

Grade: 77.2%

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

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Matriculation

Matriculation (High School)

Grade: 84.6%

Certificates

Machine Learning with Python

Issued By

Coursera

Data Structures

Issued By

Coursera

C++ For C Programmers

Issued By

Coursera

Python Programming

Issued By

Coursera

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.

Projects

Face Mask Detection

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Summary

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

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Summary

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

Text Summarization

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Summary

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

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Summary

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