AI Councel Lab

  Power BI Dashboard: https://drive.google.com/file/d/1izIJOq0mk-Irg1uRboD_3H9IoX44yZex/view?usp=drive_link Tableu Dashboard: https://public.tableau.com/app/profile/raghvendra.singh4020/vizzes Looker Dashboard: https://lookerstudio.google.com/reporting/c7ed19af-48c8-4e13-9cdc-859047999a16/page/FKgRB

🔍 Project Overview  This project demonstrates the application of inferential statistics to solve multiple real-world problems across sports analytics, manufacturing quality control, marketing operations and healthcare . The objective was to move beyond descriptive statistics and apply probability theory, hypothesis testing, and ANOVA techniques to draw meaningful conclusions and support data-driven decision-making. Download Complete Report from Git Open on Git 🎯 Key Objectives Apply probability concepts to real datasets Use normal distribution and Z-tests for quality analysis Perform hypothesis testing (Z-test, T-test) Analyze multi-factor effects using One-Way & Two-Way ANOVA Translate statistical results into business insights and recommendations 🧠 Problem 1: Sports Injury Probability Analysis Business Question Can player position help explain the likelihood of foot injuries in a football team? Approach Used conditional probability and join...

The ads24x7 is a Digital Marketing company which has now got seed funding of $10 Million. They are expanding their wings in Marketing Analytics. They collected data from their Marketing Intelligence team and now wants you (their newly appointed data analyst) to segment type of ads based on the features provided. Use Clustering procedure to segment ads into homogeneous groups. View Python Code View Pdf Report 🔍 Project Objective This project focuses on applying unsupervised machine learning and dimensionality reduction techniques to solve two real-world analytical problems: Segment digital advertisements based on performance metrics to optimize marketing strategy. Reduce high-dimensional census data using PCA to extract meaningful population insights efficiently. The project demonstrates strong skills in EDA, clustering, PCA, business interpretation, and actionable recommendations . 🧠 Part 1: Digital Marketing Ads Clustering (Business Analytics + ML) 📌 Problem Statement A digital ...

  I’m Raghvendra Singh Business Analytics & Data Science Professional I help businesses make data-driven decisions using analytics, dashboards and data science techniques across Ecommerce, Retail, Finance and Marketing . I specialize in converting raw data into clear insights, measurable impact and actionable recommendations for business leaders and teams. Profile Links Github LinkedIn Portfolio  Below are selected projects showcasing my work in analytics, data science and business problem-solving . 1. Digital Marketing Ads Clustering for Ads24x7 2. Inferential statistics: Probability to ANOVA 📬 Let’s Connect 📧 Email: raghavsingh0027 @gmail.com 🔗 LinkedIn: https://www.linkedin.com/in/raghvendra0027