Superkart Sales: Machine Learning Project in Python
I build a predictive model in Python to determine the total sales that will be done by SuperKart in the next quarter. The model explains around 82% of the variation in the data.
I build a predictive model in Python to determine the total sales that will be done by SuperKart in the next quarter. The model explains around 82% of the variation in the data.
Builded and tuned decision tree and random forest models to help ExtraLearn to identify potential customer.
Conducted a cluster analysis on fantasy sports’ past season data to identify players of different potentials and determine a set price for each player for the upcoming football season.
This project was undertaken as part of the KPMG Virtual Internship Program and it encompased 3 tasks: (1) Data Quality Assesment, (2) Custer Analysis and a (3) PowerBI presentation with the insights.
Independently created a website from the ground up as part of a volunteer project for Shalom Lima. Aiming to showcase Shalom Peru’s activities and extends its outreach to a wider and diverse audience.
Data management and analysis project utilizing MySQL in Pizza Sales Data, and visually representing the findings in an interactive Tableau Dashboard
Conducted an EDA of FoodHub’s operational data to uncovered valuable insights that can shape strategic decisions and elevate the overall customer experience. This is complemented with a PowerBI dashboard showcasing the findings.
Exploratory Data Analysis of Uber data to extract good insights that are potentially actionable for the business.
Power BI Dashboard that illustrate Databel Telecom’s Customer Churn Analysis
Interactive Tableau dashboard representing London Bike’s Moving Average and pre-processing the data in Python
Design an online clock website as part of frontendmentor.io challenge using a combination of HTML, CSS JavaScript. I tailored it to my personal preferences with a soothing sunset theme.