kaushikrohit004 Goto Github PK

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Name: Rohit Kaushik

Type: User

Company: University of Illinois

Bio: Results-driven Data Analyst with expertise in end-to-end data solutions. Proficient in Python, R, SQL, and Machine Learning for comprehensive analysis.

Location: Illinois, USA

Master’s Degree Graduate University of Illinois| GPSI Scholar| Data Analyst

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"],
};

🛠️ Tech Stack

👉 Programming languages

👉 Data Science and Analysis

👉 Machine Learning & Deep Learning Frameworks

👉 Databases & Big Data Technologies

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 !!

Let's Connect

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

Created with 🧡 by Rohit Kaushik

Rohit Kaushik's Projects

alzheimers-detection-from-mri-images

Advanced machine learning algorithms to analyse MRI images, providing early and accurate detection of Alzheimer’s disease, aiding in timely intervention and care. It’s a pivotal analysis in the fight against this neurodegenerative disorder, offering hope through technology.

arizona-fatal-accidents

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 road safety measures.

aws-genai-llm-chatbot

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

binary-classification-travel-insurance-claim

Insurance companies take risks over customers. Risk management is a very important aspect of the insurance industry. Insurers consider every quantifiable factor to develop profiles of high and low insurance risks. Insurers collect vast amounts of information about policyholders and analyze the data.

british-airways-customer-satisfaction-analysis

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

calgary-crime-analysis-using-neural-network

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 analysis and advanced predictive modeling.

copyleaks-plagiarism-api

Copyleaks Plagiarism API offers robust and precise plagiarism detection, enabling developers to seamlessly integrate originality checks into their applications for maintaining content integrity.

coronary-heart-disease-prediction

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.

detection-of-moving-objects

Moving object detection is a technique used in computer vision and image processing. Multiple consecutive frames from a video are compared by various methods to determine if any moving object is detected.

handwritten-digits-classification-using-svm

In this notebook, my objective is to explore the popular MNIST dataset and build an SVM model to classify handwritten digits. Here is a detailed description of the dataset.

hr-insights-using-ml

As a data scientist, predicting employee turnover is crucial for maintaining workforce stability. Let’s enhance the project to create a robust model that gauges the risk of attrition using systematic machine learning.

image-recognition-on-tv-series

Let’s dive into the fascinating world of image recognition using the VGG16 model. In this project, we’ll explore how this powerful architecture can help us identify objects within images, with a specific focus on the popular TV series “The Vampire Diaries.”

intellectchat-dynamic-ai-driven-recommendation-engine

The Knowledge-Aware Conversational Recommendation System utilizes conversational data from smart devices to predict movie preferences. It analyzes user sentiment and employs collaborative filtering with critics' reviews to enhance accuracy and address the "cold start" problem, improving recommendations through neural collaborative filtering.

kaushikrohit004

This special README repository is a dynamic reflection of me, designed to share my expertise and connect with the community.

kaushikrohit004.github.io

Rohit Kaushik Portfolio

memoire

Reminder Application

nyc-taxi-demand-prediction

Repository containing the notebook for my big data project involving EDA and Machine Learning on the NY Taxi Fare dataset.

reddemotion-analyzer

The project is a Reddit sentiment analysis tool that identifies trending stock tickers and evaluates community sentiment using the Vader Sentiment Intensity Analyzer.

restaurant-review-using-nlp

This is a restaurant reviewer model which was bulit using the concept of NLP. One of the most effective tools any restaurant has is the ability to track food and beverage sales daily. Currently, Recommender systems plays an important role in both academia and industry.