Name: Nitin Shivakumar
Type: User
Company: University at Buffalo
Bio: Pursuing MS in Engineering Science(Data Science) at State University of NewYork at Buffalo.
Location: Buffalo, NewYork, USA
Blog: https://www.linkedin.com/in/nitinshivakumar/
Nitin Shivakumar's Projects
Placed in top 1% (25/2124) in an Hackerearth Machine Learning Competition.
HackerEarth Machine Learning Hackathon secured 55th rank over 5061 participants.
This project is designed for advanced image processing enthusiasts, researchers, and developers interested in exploring cutting-edge techniques for facial recognition and panorama construction.
Repository for doing advanced techniques.
Scored 99.7 out of 100 from the folloing code.
Repository for DevOps (Python)
Camera calibration is a crucial process in computer vision and photogrammetry. It involves determining the intrinsic and extrinsic parameters of a camera to accurately map 3D points in the real world to their corresponding 2D points in an image.
The Ecommerce Sentiment Analysis and Review Processing project is an advanced data analytics system that leverages Python and SQL to extract valuable insights from customer reviews and sentiments on ecommerce platforms.
Detecting the spam mails and classifying it has spam mail. I have used Natural Language Processing module in order to do this project.
The Enhanced Proctoring System is a computer vision-based solution designed for monitoring and enhancing security during educational assessments.
This was my first excel project, I made used of some of the good advanced techniques like Vlookups, Hlookups and many more. I was able to analyze the data and construct few attractive charts from the dataset that was taken from the kaggle.
My first Hackerearth machine learning hackathon competetion. I was placed in the top 11% ranking in the leaderborad. I used a XGboost model in the competetion. You can see my code in this reposstory.
The aim of this project is to manipulate the given images
This project showcases image processing techniques including Fourier transform, filtering, and contrast adjustment using Python and OpenCV.
This is my first internship in Analystics, worked as an Data Analyst intern.
Kaggle Project
Working on a kaggle knowledge competetion, the best cose is updated here.
Demonstration the integration of MLflow, DVC (Data Version Control), and Dagshub to manage and track machine learning experiments using the Wine Quality dataset. MLflow will be used to track and visualize experiments, DVC will handle data versioning and pipeline management, and Dagshub will provide a collaborative platform.
This project aims to analyze the social network structure of a karate club using network analysis techniques provided by the networkx library in Python.
The goal of the student match score prediction ML project is to develop a model that can predict the match score between a student and a specific educational program or institution.
This project utilizes various technologies, including Python as the programming language and Google Cloud Platform (GCP) services such as Google Storage, Compute Instance, BigQuery, and Looker Studio.
This project uses Keras OCR to extract text from images. It involves preprocessing the input image, using a trained deep learning model for text recognition, and optionally applying post-processing steps before obtaining the final extracted and processed text output.
The project involves evaluating different text extraction packages comparison.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent