Skip to content
View kaushikrohit004's full-sized avatar
๐ŸŽฏ
Focusing
๐ŸŽฏ
Focusing

Block or report kaushikrohit004

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
kaushikrohit004/README.md

Rohit Kaushik

GIF

Masterโ€™s Degree Graduate University of Illinois| GPSI Scholar| Data Analyst

linkedin badge

python tensorflow pytorch scikit-learn jupyter pandas numpy matplotlib R

A little more about me...

const rohit = {
  pronouns: "He" | "Him",
  code: ["Python", "R", "SQL", "Scala", "Julia"],
  askMeAbout: ["Data Science", "Machine Learning", "AI", "Deep Learning"],
  technologies: {
    dataScience: ["Pandas", "NumPy", "SciPy", "Scikit-learn", "TensorFlow", "Keras"],
    cloudServices: ["AWS", "Azure", "GCP"],
    databases: ["PostgreSQL", "MySQL", "MongoDB", "BigQuery"],
    misc: ["Docker", "Kubernetes", "Jupyter Notebook", "Tableau"]
  },
  architecture: ["Microservices", "Data Lakes", "ETL Pipelines"],
  currentFocus: ["Building Scalable ML Models", "Deep Learning for Computer Vision", "Natural Language Processing"],
};

๐Ÿ› ๏ธ Tech Stack

๐Ÿ‘‰ Programming languages

โ€ƒ Python โ€ƒ C โ€ƒ C++ โ€ƒ JavaScript โ€ƒ Java โ€ƒ

๐Ÿ‘‰ Data Science and Analysis

โ€ƒ Python โ€ƒ Jupyter โ€ƒ R โ€ƒ Tableau

๐Ÿ‘‰ Machine Learning & Deep Learning Frameworks

โ€ƒ TensorFlow โ€ƒ Keras โ€ƒ PyTorch โ€ƒ Scikit-Learn

๐Ÿ‘‰ Databases & Big Data Technologies

โ€ƒ MongoDB โ€ƒ Hadoop โ€ƒ Apache Spark โ€ƒ PostgreSQL

Github Statistics

Research and Publications

  • Cardiovascular Disease Prediction using Machine Learning Techniques in AIP Proceedings
  • Semantic-based approach for MCPS with Biometric Authentication for Secured Privacy in De Gruyter
  • Postmortem Concentrations: Distributed Privacy-Preserving Blockchain Authentication Framework in Cloud Forensics in Taylor & Francis CRC Press
  • Genetically Induced Biomaterial Advances in Medical Sciences in Springer

Here is a dev joke for you !!

Jokes Card

Let's Connect

I love connecting with different people so if you want to say hi, I'll be happy to meet you more! ๐Ÿ˜Š

Gmail GitHub LinkedIn


Created with ๐Ÿงก by Rohit Kaushik

Pinned Loading

  1. Sign-Language-Recognition-using-CNN Sign-Language-Recognition-using-CNN Public

    A breakthrough Convolutional Neural Network (CNN) application that accurately interprets sign language, transforming gestures into speech and text, fostering seamless communication for the deaf comโ€ฆ

    Jupyter Notebook 3

  2. Alzheimers-Detection-from-MRI-Images Alzheimers-Detection-from-MRI-Images Public

    Advanced machine learning algorithms to analyse MRI images, providing early and accurate detection of Alzheimerโ€™s disease, aiding in timely intervention and care. Itโ€™s a pivotal analysis in the figโ€ฆ

    Jupyter Notebook

  3. Arizona-Fatal-Accidents Arizona-Fatal-Accidents Public

    Arizona Road Safety Analysis: This project utilizes data-driven insights to understand and mitigate fatal accidents in Arizona, employing statistical models to identify risk factors and improve roaโ€ฆ

    Jupyter Notebook

  4. British-Airways-Customer-Satisfaction-Analysis British-Airways-Customer-Satisfaction-Analysis Public

    A comprehensive analysis of customer satisfaction trends, this study delves into feedback and service quality data to enhance the passenger experience with British Airways.

    Jupyter Notebook

  5. Calgary-Crime-Analysis-using-Neural-Network Calgary-Crime-Analysis-using-Neural-Network Public

    Calgary Crime Forecast: Leveraging LSTM neural networks to dissect and predict crime patterns from 2018-2024 data, this project aims to enhance public safety strategies through meticulous data analโ€ฆ

    Jupyter Notebook

  6. Coronary-Heart-Disease-Prediction Coronary-Heart-Disease-Prediction Public

    Utilizing a suite of machine learning algorithms, this project accurately predicts coronary heart disease by analyzing patient data, with Random Forest outperforming as the most effective classifier.

    Jupyter Notebook