Name: Siddharth Kushawaha
Type: User
Company: Factspan Analytics
Bio: I am a Senior Data Analyst. Python| Statistical Model| SQL| Tableau| Looker| ML| Deep Learning| PyTorch| Docker| MLOps
Location: Bangalore
Blog: https://sidkush.github.io/
Siddharth Kushawaha's Projects
This project analyzes the 2011 India Census data to gain insights into urbanization trends and demographic patterns across different districts in India. The census data provides a comprehensive view of the population, including information on literacy, employment, household characteristics, and more.
This project provides Python scripts for real-time face detection, face detection in images, and extracting frames from video. These tools can be used for various computer vision applications, including security systems, user authentication, and video analysis.
Worked on FIFA dataset and answered some questions using Python
By leveraging the power of GPT, we can create an intuitive interface that allows users to generate SQL queries using plain English.
The purpose of this project is to build an efficient sales modeling system for a retail organization using prior sales data and additional datasets provided. We intend to utilize statistical techniques to understand the relation between oil prices, unit sales, transactions, Store Type, and Store Locale.
This project aims to develop a fraud detection system using the IEEE-CIS Fraud Detection dataset provided by VESTA corporation. The goal is to accurately classify transactions as fraudulent or genuine while minimizing false positives and enhancing the customer experience.
This project addresses the need for an accessible, user-friendly tool that guides users through the data science process. It aims to democratize data science by providing AI assistance for exploratory data analysis (EDA), data analysis, and machine learning tasks.
Different ML models tried to hard code to understand the thought process behind the model in depth.
The research project aims to apply probabilistic and statistical techniques acquired during the course to address specific questions of interest across various domains such as finance, business, psychology, sociology, natural science, medicine, public policy, sports, and law.
An online hotel booking agency wants to analyze their dataset to understand user behavior and improve their conversion rates. The dataset contains information about users visiting the website, searching for hotels, and deciding whether to book a hotel or not. The main objective is to predict if a user will book a hotel based on various features.
python programs
Hello world, this is my profile.
This project uses computer vision and deep learning to convert American Sign Language finger spelling into text in real-time. It allows deaf and hard of hearing individuals to more easily communicate with others not familiar with sign language.