Business Intelligence report on Digital Marketing strategies | Qrious Insights

To optimize digital marketing efforts by Qrious Insights team, we analyzed user mobile data, identified top retailers and search terms, resulting in 30% more SEO-driven leads, 15% higher conversion rates, and $500K profit margin increase through product bundling.

National Analytics Case study competition | Capital One

Motivated to mitigate financial risks, we developed an 80% accurate machine learning model for Payment Default Detection which reduced default risks by 50%, ensuring financial stability and enabling proactive measures for businesses to safeguard their financial interests.

HR Predictive Analytics for Employee Retention

Leveraging R, EDA, and Power BI, in this project we created interactive visualizations, reducing analysis time by 50%, and provides predictive models to forecast attrition rates, optimizing talent retention strategies.

Digital Analytics strategies for Broad College

Utilizing Google Analytics and Power BI, this project provided targeted recommendations that boosted MBA program applications by 20% and enhanced website goal conversion rate by 15%, driving business growth and success.

Predicting Mild Cognitive Impairment (MCI) in Older Adults

The aim of this analysis is to predict whether a patient has Mild Cognitive Impairment (MCI) or not based on various demographic, health, and lifestyle factors. The dataset contains information on patients, including their age, education level, cognitive test scores, gait measures and other features

Data Visualization Projects

Showcases impactful projects created using Tableau, Power BI, and Excel. Through these tools, I have crafted compelling visualizations that effectively communicate insights, empowering data-driven decision-making.