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.

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.

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.

Google Advanced Data Analytics Projects: WAZE and Salifort Motors

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.

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

My repository for the Data-Driven Decision Making Program at I2A2

Rakshayani Thyagu's Portfolio

Uncover insights from Zomato's restaurant data using Excel, SQL, Power BI, and Tableau. Analyze location trends, opening patterns, ratings distribution, and price ranges for a comprehensive understanding of the dining landscape. Dive into this repository and unlock the flavors waiting to be explored. Your culinary adventure starts here!

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

Describes Bixal's development methodology

Google Data Analytics Professional Certificate

Scraping LeetCode data, analyzing for insights, crafting a user-friendly dashboard, and building a problem recommender for optimized problem-solving.

Analysis of an online store indicating its KPIs such as Sales, Profit, Total Customers, Orders, Units Sold, etc

Analyzed customer churn using transaction data. Built ML model to predict lapses. Dataset includes customer status, collection/redemption info, and program tenure. Delivered business presentation outlining modeling approach, findings, and churn reduction strategies.

Google Data Analysis Capstone - Cyclistic Bike Share Analytics

DATA ANALYTICS PORTFOLIO

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.

MPS Analytics Coursework [2020 - 2021]