Analyzing Retail data to explore the dataset and answer a main question which is how we can make more money by improving weak areas and represent the data in an interactive way.
Visual analysis application for the data collected by a Formula Student car during driving, aiming to evaluate and compare the drivers of the team.
🎯 Customer segmentation using RFM analysis
Extracting actionable insights from fruit nutritional data using API integration and exploratory analysis
Reddit API scraper for Airtable performance tracking
The AI-Enabled Market Trend & Consumer Sentiment Forecaster is a data-driven analytics solution designed to identify emerging market trends, analyze consumer sentiment, and generate predictive insights for informed decision-making.
This project aims to predict video game sales using machine learning algorithms in MLlib.
Exploratory Data Analysis (EDA) in Python with reports in Tableau and Power BI for the Google Data Analytics Certificate.
Dive into my Data Science Projects Repository, featuring a Spam SMS Classifier, NIA Dashboard, H1N1 Vaccine Prediction, and NYC Taxi Fare Prediction. Each project showcases my skills in data cleaning, exploratory analysis, modeling, and visualization, offering valuable insights and methodologies for data enthusiasts and practitioners.
Executive-grade analytics dashboard built with Dash & Plotly. Transforms raw sales data into business intelligence with KPIs, growth signals, volatility risk, trend analysis, and region-wise benchmarking—designed for strategic reviews and data-driven leadership decisions.
A comprehensive exploratory data analysis investigating customer churn patterns for a music streaming service, identifying key retention drivers and strategic recommendations.
Python code that predicts which course a student will register for based on their previous registration history.
Built a classification model to predict clients who are likely to default on their loans. With the challenge of a limited dataset was able to build and tune a Random Forest Model maximized for a recall score of 80%. Significant EDA and feature analysis were done to identify key features and make business recommendations moving forward.
Enhancing Airline Performance Analysis for the Department of Transport
End-to-end sales analysis of a retail superstore dataset using Excel, covering data cleaning, EDA, business insights, customer segmentation (RFM), and dashboard visualization.
End-to-end decision intelligence case studies showing how real business problems are translated into data models, analytics, and actionable decisions.
End-to-end SQL analytics project analyzing ride-hailing data with insights on revenue, driver performance, demand patterns, and profitability.
My repository for the Data-Driven Decision Making Program at I2A2
This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics, Project Management, and technology related projects.
To associate your repository with the data-driven-decisions topic, visit your repo's landing page and select "manage topics."