Yamin H's repositories
ResumeRank-App
The Resume Matching App is a simple web application built with Streamlit that allows users to match a job description with a collection of resumes to identify the most suitable candidates for a job opening.
Age-Calculator
It's a Age Calculating App based on React
Analytics_for_Fashion_Supply_Management
This Streamlit dashboard provides a comprehensive analysis of supply chain data, focusing on key metrics such as production volumes, stock levels, order quantities, revenue, manufacturing costs, lead times, shipping costs, transportation routes, risk factors, and sustainability factors
Basic-Calculator
It's a Basic Calculator which is totally made on React.js
Customer-Retention-Forecasting-App
The app utilizes a machine learning model trained on customer data to predict the likelihood of a customer leaving the bank based on various features such as credit score, age, account balance, and more.
Environmental-Monitoring-and-Analysis
In this comprehensive project, I undertook an in-depth exploration of environmental data, seeking to understand the intricate relationship between Liquefied Petroleum Gas (LPG) consumption and Carbon Monoxide (CO) emissions.
Hadoop-MapRaduce-Problems
This repository contains solutions to common mapper and reducer problems in Hadoop using Python
HR-Analytics-Employee-Performance-Analysis
HR Analytics: Unveiling Employee Performance - A comprehensive exploration of employee data using SQL and Power BI, uncovering key insights for strategic HR decision-making.
LLM-Based-Text-Summarizer
Multilingual Text Summarizer is a web application that summarizes text, PDFs, and images in multiple languages using a T5 transformer model. The application is built with Streamlit, EasyOCR, and Hugging Face Transformers.
NLP-Auto-correction-Prediction-System-Streamlit
This is a Streamlit web application for word correction and suggestions using natural language processing techniques
Color-Picker
It's a Color-Picker App . When you Select a Color It's gonna tell which color It is
CrystalRisk-A-Transparent-View-of-Financial-Stability
In the "Comprehensive Loan Analysis" project, I utilized SQL queries to thoroughly investigate and gain insights from a dataset containing loan information
Data-Table
It's an App where I am fetching data through a dummy Api
Discovering-NASA-Astronauts-A-Deep-Dive-into-Space-Explorers
I delved into NASA astronauts' profiles, unearthing insights about their military backgrounds, education, and space missions. Through SQL and Tableau, I celebrate their contributions to space exploration, spotlighting pioneers who shaped our cosmos understanding.
India-s-COVID-19-Journey-A-Case-Study-Analysis
In this extensive project, I embarked on a profound exploration of India's journey through the COVID-19 pandemic. This endeavor involved a multi-faceted approach, encompassing data preprocessing with Python, data analysis with SQL queries, and data visualization using Power BI.
Instagram-User-Insights-Analyzing-User-Behavior
In this project, I delved into the dynamics of a popular photo-sharing website using SQL queries
Laptop-Price-Predictor
The Laptop Price Predictor is a Streamlit web application designed to predict the prices of laptops based on various features. It leverages machine learning models trained on laptop data to provide accurate price estimations for different laptop configurations.
Loan-Prediction-Streamlit
This project is a Streamlit web application that predicts whether a loan will be approved or rejected based on various input features provided by the use
Loanalytics-Investigating-Financial-Trends-with-World-Bank-Data
The project aimed to explore and analyze World Bank Loan Data, leveraging Python for data preprocessing and SQL for in-depth queries
Netflix-Insights-Genre-Trends-Analysis
I conducted an in-depth analysis of the Netflix dataset to gain insights into various aspects of the content available on the platform
Optimizing-Treatment-Plans-Through-Data-Analysis
The primary focus was on understanding customer health, treatment, and associated charges over multiple years.
Playstore-App-Insights-Uncovering-App-Market-Trends
In my Playstore App analysis, I uncovered valuable insights about app market trends. I discovered the top-rated apps, identified popular app categories, and explored user sentiments. My findings provide a comprehensive understanding of the app landscape, aiding in informed decision-making and strategy development for app developers and marketers.
Precision-Marketing-for-Personal-Loans
In this project, I conducted an in-depth analysis of a dataset containing personal loan information
Sleep-Disorder-Detection-App
Sleep Disorder Detection App! This app uses a machine learning model to detect potential sleep disorders based on user input features such as age, gender, occupation, sleep duration, and more. It also provides helpful tips and insights based on the predictions.
Smartphone-Sales-Insights-Unveiling-Trends-and-Patterns
In the Smartphone Market Analysis project, I embarked on a comprehensive exploration of smartphone sales data to uncover valuable insights into market trends, brand performance, and customer preferences.
Superstore-Sales-Insights
In this data analysis project, I examined the sales dataset from the SuperStore. The objective was to gain insights into various aspects of the business, using both Python and SQL in a Jupyter notebook, alongside data visualization performed in Tableau.
Tv-Movie-Recommendations
This is a Flask web application that allows users to get recommendations for movies and TV shows based on genres and specific titles
Unlocking-Olympic-Data-Insights-into-Decades-of-Games
In this project, I delved into Olympic data using SQL queries, offering a comprehensive understanding of Olympic history
Word-Counter
It's a word counter app . Any thing you will write it will count for You
Work-Related-Fatality-Study-Comprehensive-Analysis
In this project, I conducted an in-depth analysis of work-related fatalities, employing a combination of Python and SQL. The primary aim was to derive valuable insights from the provided dataset. Additionally, I utilized Tableau for data visualization to enhance the presentation of findings.