Python, C++, DSA, OOPS, DBMS, AI/ML, etc.

KARAN

B.Tech. - Computer Engineering

Ph: +91-701*******

Email: ******************@*****.***

Faridabad, Haryana, India - 121002

Expertise/Skills-

Machine Learning Python C++ Data Structures Data Analytics Data Visualization SQL Neural Networks Deep Learning Artificial Intelligence Artificial Neural Networks PyTorch Google Colab Django Visual Studio Code PyCharm OOPs

EDUCATION-

J.C Bose University of science & Technology, YMCA 2017 - 2021 B.Tech. - Computer Engineering CGPA: 7.51 / 10.00

Mahadev Desai Public school, Faridabad 2016

12th CBSE Percentage: 85.80 / 100.00

Navodaya saraswati High School, Faridabad 2014

10th HBSE Percentage: 90.60 / 100.00

PROJECTS

CIFAR100-resnet9 Jan. 3, 2021 - Jan. 4, 2021

Team Size: 1

Key Skills: Python Artificial Neural Networks Deep Learning Data Collection NumPy Matplotlib PyTorch In this project, I have worked on CIFAR100 dataset and got almost 80% accuracy in 4minutes. Github Link - https://github.com/KaranPrajapati8750/CIFAR100-resnet9.git

Super Resolution Using Convolution Neural Networks Aug. 1, 2020 - Jan. 1, 2021 Mentor: Dr. Payal Gulati Team Size: 2

Key Skills: Python Machine Learning Neural Networks OpenCV Deep Learning Keras Matplotlib NumPy The goal of super-resolution (SR) is to recover a high resolution image from a low resolution input. To accomplish this goal, we will be deploying the super-resolution convolution neural network (SRCNN) using Keras. Github link - https://github.com/KaranPrajapati8750/Using-The-Super-Resolution-Convolutional-Neural-Network-for-Image-Restoration

House price prediction using Machine Learning Feb. 7, 2020 - June 15, 2020 Mentor: Dr Mamta Kathuria Team Size: 2

Key Skills: Machine Learning Python NumPy Pandas Matplotlib Scikit-Learn Regression Models Tkinter In this project,I created three models - Random forest regressor,decision tree regressor and gradient boosting regressor to train on 25K lines of housing data with over 20 attributes.

Github link - https://github.com/KaranPrajapati8750/House-Price-Prediction-using-Machine-Learning-and-Tkinter

ASSESSMENTS / CERTIFICATIONS

Data Analysis with Python: Zero to Pandas

Key Skills: Python Pandas Data Visualization Matplotlib NumPy Data Analysis Data Cleaning Data Processing

"Data Analysis with Python: Zero to Pandas" is a practical and beginner-friendly introduction to data analysis covering the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis. Deep Learning with PyTorch: Zero to GANs

Key Skills: Artificial Neural Networks Deep Learning Data Collection NumPy Python Matplotlib

"Deep Learning with PyTorch: Zero to GANs" is a beginner-friendly online course offering a practical and coding-focused introduction to deep learning using the PyTorch framework.

PERSONAL INTERESTS / HOBBIES

Cricket, volleyball, video gaming, singing etc

WEB LINKS

LinkedIn - https://www.linkedin.com/in/karan-lohaniya/ Github - https://github.com/KaranPrajapati8750

Other - https://auth.geeksforgeeks.org/user/karanphenomena/profile

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