Projects
BANK CHURNERS CUSTOMER ANALYSIS – BUSINESS ANALYST
SEP 2024-NOV 2024
● Created a dashboard with Power BI and Conducted EDA on 10,000 customer records, identifying key churn
factors and enabling strategies to reduce churn by 20%.
● Leveraged SQL to extract and manipulate data, uncovering trends and providing insights that improved retention
strategies, cutting churn by 15%.
● Visualized churn rates by demographics, revealing a 26% churn rate and enabling targeted strategies to address
high- risk groups, improving retention by 10%.
● Analyzed churn rates by age and gender, identifying younger customers (30% higher churn) and males (32%
churn) as higher risks, leading to tailored plans that improved engagement by 25%.
GLUCOSE GUIDES ANALYSIS– DATA ANALYST
SEP 2023-DEC 2023
● Performed EDA on 100,000 diabetes records, identifying 3 key predictors and improving diagnostic accuracy.
● Created 10+ visualizations and dashboard using Tableau and Storyboard making to analyze trends across age, glucose levels, and BMI, improving pattern recognition.
● Developed advanced visualizations, highlighting 15% higher diabetes prevalence in older populations with comorbidities.
● Used violin plots to reveal 20% glucose variance in older groups, emphasizing glucose as a primary predictor.
● Identified 3 key diabetes predictors—age, blood glucose, and hypertension—addressing 80% of high-risk cases,
while finding smoking had <5% correlation using R and Tableau.
EFFECTIVE HEART DISEASE PREDICTION USING MACHINE LEARNING
SEP 2021-APR 2022
●Formulated a Hybrid Random Forest model (HRFLM) with 88.7% accuracy, improving diagnostic reliability.
● Integrated data from 10 hospitals, leveraging ETL processes to enhance data quality.
● Devised predictive models for ages 3–60, improving diagnostic utility across diverse groups.
● Produced 500+ pages of documentation, ensuring scalability and reproducibility.
