End to End Sentiment Analysis Project

This project involves scraping review data from a website and using Airflow to orchestrate a data pipeline. The pipeline handles data extraction and storage into an S3 bucket. I then perform sentiment analysis, create an interactive dashboard for exploring derived insights using Streamlit.

Tableau Dashboards

Projects in visualization hosted on Tableau Public . They include dashboards and analytical reports designed to provide insights and trends.

Quantium Retail Analytics

Project involves customer analysis to uncover customer purchasing habits to offer strategic commercial recommendations. Uplift testing follows to measure the impact and effectiveness of a store trial previously conducted.

Power BI Analytics: Unveiling Insights from Call Center, Churn & Diversity Data

This project utilizes Power BI to create interactive dashboards that analyze call center performance, customer churn, and diversity & inclusion metrics. These dashboards provide valuable insights to drive strategic decision-making.

Medical Trial Hypothesis Testing

We run hypothesis tests to clarify a few assumptions on a medical trial conducted by a pharmaceutical company in a bid to promote transparency and reproducibility of the trial outcome.

Credit Score Modelling

The credit scoring project is designed to assess individual creditworthiness based on a set of customer features, ultimately generating both a credit risk evaluation and a corresponding credit score for each customer.

Employee_Churn_Prediction

The HR department needs insights on employee turnover. With collected data, they aim to understand what drives employees to leave the company. The project entails analyzing this data to identify factors contributing to employee attrition.

Airplane Booking Prediction

Empowered travelers? I used airline booking data and a Random Forest model to predict their decisions, revealing key factors like travel patterns and purchase timing. Airlines, prepare for proactive acquisition!

Food Carbon Footprint

This project aims to visually illustrate the significant impact of various food choices on carbon emissions. Through data visualization and analysis, this project intends to enlighten individuals about the environmental footprint associated with different foods.