Mayank Yadav's repositories
Advanced-Power-BI-Projects
This repository 📂 features a collection of advanced Power BI projects, diving into data analysis across diverse domains like finance 🏦, healthcare 🏥, retail 🛒, and more. Each project includes interactive dashboards 📊, key insights 🔍, and analytical approaches to deliver valuable business intelligence solutions 💡.
Air-BNB-Data-Analysis
Data analysis and insights from NYC Airbnb listings, focusing on key metrics such as host performance, neighborhood trends, pricing, and customer reviews. Comprehensive documentation of ETL processes and analytical methodologies is provided. Perfect for understanding Airbnb dynamics and decision-making in the NYC market.
Customer-Churn-Analysis-Telco
🔍 Customer Churn Analysis: Delved into the data to reveal key insights and trends! 📊 Through Exploratory Data Analysis (EDA), I unearthed patterns that drive customer decisions, helping shape strategies to boost retention by over 25%! 🚀 Let's turn data into action!
Data-Analysis-with-Python
This repository showcases data analysis projects using Python and libraries like Numpy, Pandas, Matplotlib and Seaborn. Key projects include visualizing medical data, analyzing page view trends, and predicting sea level changes. Explore to see Python's data analysis capabilities!
Machine-Learning-with-Python
🚀 A collection of machine learning projects using TensorFlow and Python, showcasing practical applications in prediction 🤖 and classification 📊. Dive in to explore! 🐍✨
Mini-Voting-System
Mini Voting System is a C-based election app with an Admin Panel for managing candidates and bans, plus a User Panel for secure voting. Featuring real-time results, it offers a streamlined solution for transparent and efficient elections.
Movie-Recommendation-Engine-ACG
A Python-based project that suggests similar movies based on user input. 🌟 It uses a pre-calculated similarity matrix from a dataset of 4,800+ movies to display the top 30 recommendations. 📈 The engine efficiently handles user input errors for an optimal experience. 🎥🍿
Quantium-Data-Analytics
🎯 This repo contains the work completed during the Quantium Data Analytics Job Simulation on Forage. The focus was to analyze customer transaction data, provide insights, and recommend data-driven strategies. Key areas include data preparation, customer segmentation, uplift testing, and reporting for decision-making.✨
T20I-World-Cup-2024-Analysis
Explore my Jupyter Notebook 📊 featuring comprehensive datasets and visualizations from the 2024 T20 World Cup analysis. Discover key insights into player performances 🏏, match statistics 📈, and team dynamics, making it a valuable resource for cricket enthusiasts and analysts alike! 🌟et enthusiasts and analysts alike!
Accenture-North-America
Explore my experience in the Accenture North America Data Analytics and Visualization Job Simulation! 🌟 I analyzed datasets for a social media client, uncovering insights and creating visual presentations to drive strategic decisions. Join me in discovering the power of data analytics! 📊
Sales-Forecasting-ACG
The Sales Forecasting in Data Science project develops a predictive model for sales based on product and store attributes. Using a dataset of 8,500+ entries, it employs data cleaning, EDA, and machine learning techniques to enhance sales predictions and provide actionable insights for retail decision-making. 📊
Amazon-Sales-Data-Analysis
Diving into Amazon sales data to uncover hidden gems! 📈 Analyzing iNeuron's dataset to optimize sales strategies and boost performance 💡 Driving business growth with data-driven decisions! 💻
Blink-It-Analysis-Report
📊 This repository contains a Power BI dashboard for analyzing Blinkit’s sales, customer satisfaction, and inventory. It showcases 💰 total sales, 👀 item visibility, and ⭐ customer ratings with key insights for 📍 outlet performance and optimization.
Career-Aspirations-of-GenZ
Explore a collection of interactive dashboards developed during my internship at KultureHire! This repository includes visual insights into Learning Aspirations, Manager Aspirations, and Mission Aspirations, designed to help stakeholders make informed decisions. 🌟📈
Credit-Card-Fraud-Detection
A project to detect fraudulent credit card transactions using Machine Learning models integrated with a Flask web app🌐. Includes data preprocessing, EDA, and models like Logistic Regression and Random Forest for accurate predictions🧠. Deployable, user-friendly, and powered by Python!
Detection-of-Parkinsons-Disease
🔍 This repo focuses on detecting Parkinson's Disease using machine learning techniques on vocal features. The project includes data preprocessing, analysis, and model training, achieving a remarkable 99.6% accuracy with the Random Forest Classifier. 🧠
Diwali-Sales-EDA
This repository contains a detailed Diwali Sales EDA, analyzing 11,239 records to uncover trends in customer behavior, top products, and regional sales. Using Python, Pandas, and Matplotlib, this project offers actionable insights to optimize sales strategies during the festive season. 📊
Goldman-Sachs-SE
This repository highlights my work from the Goldman Sachs Software Engineering (Advanced) virtual simulation on Forage. 🛠️ I tackled a leaked password database challenge, producing an in-depth analysis report, password dump, and memo documenting the findings.
Heart-Disease-Prediction
This project predicts the risk of Coronary Heart Disease (CHD) using Machine Learning models based on patient data, such as age, blood pressure, and cholesterol levels. Key models developed include Logistic Regression and SVM, aiding in early intervention and improved health management. ❤️🔍
Loan-Approval-Prediction
A project to predict loan approvals using 💡 Machine Learning models. Features 📊 data cleaning, 🔍 EDA, and 🧠 models like Logistic Regression and Decision Trees for accurate predictions.
mayankyadav23
Hi, I’m Mayank! A data enthusiast turning numbers into insights. 📊💡 Passionate about analytics and making data-driven decisions. Let’s connect and explore the power of data together! 🚀
Netflix-Data-Analysis
🎬 This project focuses on Netflix data analysis and database normalization. We cleaned and structured the dataset using SQL normalization techniques, reducing redundancy and boosting query performance. 🔍 Key insights include popular genres, actor appearances, and rating distributions, with 📊 visualizations created using Tableau/Power BI.
Operation-Analytics-and-Investigating-Metric-Spike
This repository focuses on end-to-end operational analysis, helping organizations identify areas for improvement and enhance collaboration among teams. It includes case studies on job data metrics and user engagement, providing insights into performance trends and user behaviors for informed decision-making. 📊🔍
Pizza-Sales-Analysis
Welcome to Pizza Sales Analysis using SQL! 🍕 This project dives into over 20,000 rows of pizza data to uncover the secret sauce behind top-selling pizzas, peak order times, and customer favorites. Using SQL, I answered 13 key business questions to help the restaurant boost sales and optimize operations.
Red-Wine-Quality-Prediction
Predict the quality of red wine using 💡 Machine Learning models. Features 📊 data preprocessing, 🔍 EDA, and 🧠 models like Random Forest and Linear Regression for precise predictions based on chemical properties. Cheers to data science! 🥂
Reliance-Smart-Analysis-Report
This project showcases a Power BI dashboard analyzing Reliance Smart's sales, customer behavior, and inventory. Using DAX functions for key metrics like revenue, profit, and returns, and performing data cleaning, transformation, and modeling, the report offers insights into trends and opportunities for optimization. 📊
Shipment-Pricing-Prediction
Shipment Pricing Prediction 📦🔍 is a machine learning project that forecasts shipment prices based on various supply chain factors. Using advanced regression models, it provides valuable insights 📊 to optimize pricing strategies in the supply chain analytics domain.
Students-Results-Analysis
Analyzing 30,000+ student records to uncover how gender, parental education, and study hours affect math, reading, and writing scores. Using Python for data cleaning, EDA, and visualizations. 🎓📈
TATA-Data-Visualization
This repository highlights my experience in the TATA Data Visualization job simulation on Forage. I analyzed data, selected impactful visuals, and communicated insights to drive informed decisions. 📊 This project sharpened my data analysis and visualization skills! 💡
Used-Cars-Price-Prediction
This project predicts **Car Prices** with a **92% accuracy** using a **Random Forest model**. It takes you through data cleaning, feature engineering, and model evaluation. Perfect for anyone looking to explore how factors like year, mileage, and engine size impact car prices 🚗📊.