robinmillford Goto Github PK

followers: 4.0 following: 4.0 repos: 29.0 gists: 0.0

Name: Yamin H

Type: User

Bio: Aspiring Data Scientist with a strong foundation in stats and data viz. Proficient in Python, R, SQL, Viz Tools. Experience in ML, data wrangling, big data.

Yamin H's Projects

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

analyzing-banking-trends-customer-transactionns-and-regional-impact

In this project, I embarked on a journey to analyze banking trends, customer transactions, and regional impacts on a financial dataset. My goal was to gain valuable insights into customer behavior, regional distribution, and transaction patterns

analyzing-e-commerce-transactions---data-cleaning-cohort-analysis-and-sql

In this project, I aimed to analyze the profitability of products in an e-commerce dataset. I performed various SQL queries to extract valuable insights about product profitability, including the identification of the top 5 products with the highest profit margin, and unique combinations of brands and product lines with the highest profitability.

avocado-shiny-app

A dashboard of California avocado insights.

bike-sales-dashboard-excel

I analyse a real-world dataset about bike sales and display the results on an excel dashboard.

club-event-management-system

The Club Event Management System is a web application that allows users to manage and view events organized by various clubs. The system is built using Flask (a Python web framework) and a SQL Server database to store event-related data. The project provides various APIs for retrieving, creating, and updating events, clubs, and user information.

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

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.

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.

flight-delay-and-ticket-price-prediction

This datasets are acquired from Kaggle, and I attempt to analyse flight delay and ticket prices and install machine learning models to forecast the delays and ticket prices.

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.

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.

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.

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

nlp-auto-correction-prediction-system-streamlit

This is a Streamlit web application for word correction and suggestions using natural language processing techniques

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

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.

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.

time-series-analysis-of-medical-appointments

The "Time Series Analysis of Medical Appointments" project involves a series of data preprocessing, transformation, and analysis tasks performed on a dataset of medical appointment records.

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

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.

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