Visual analysis application for the data collected by a Formula Student car during driving, aiming to evaluate and compare the drivers of the team.

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.

Enhancing Airline Performance Analysis for the Department of Transport

Google Advanced Data Analytics Projects: WAZE and Salifort Motors

The project dives into transaction records of an online retail business to uncover hidden relationships between products. The overall goal is a data-driven approach to enhance the customer shopping experience, improve loyalty, boost profitability, tailor marketing strategies, and optimize inventory management via strategic business decisions.

A critical problem in EdTech is converting potential customers into paid customers. Performed EDA to identify the key factors driving the lead conversion process and built an ML model (using Decision Trees and Random Forest) that identifies which leads are more likely to convert.

This academic article explores the factors that influence the success of data initiatives, the importance of data in modern organizations, and the role of data strategy in fostering a data-driven culture.

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.

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.

Python code that predicts which course a student will register for based on their previous registration history.

A predictive model for postgraduate program enrollment based on historical data, student rankings, and various influencing factors.

Built a linear regression model to predict house prices in Boston. The final model is generalized and perfectly predicts prices with a 100% r-squared. Significant EDA and feature analysis were done to identify key features and make business recommendations moving forward.

MPS Analytics Coursework [2020 - 2021]

Program Description and Certificates for the MicroMasters Program in Business Analytics

Airplane Crash Analysis: A comprehensive analysis of airplane crashes and fatalities spanning from 1980 to 2023.

Google Data Analysis Capstone - Cyclistic Bike Share Analytics

DATA ANALYTICS PORTFOLIO

Data-driven Decision Making project to predict location of oil and petroleum refineries in United States

Describes Bixal's development methodology