Projects
customer sales analysis and optimization
I oversaw the full data lifecycle, from collection to integration, using ETL processes. Additionally, I developed the BI solution, designing dashboards and reports to effectively visualize sales data.
Project insights
Prostate Cancer Outcome Prediction
R project involves building and evaluating multiple regression models to predict prostate cancer outcomes.
Project Details
This R project evaluates multiple regression models—Linear, PCA, Ridge, Lasso, and Elastic Net—for predicting prostate cancer outcomes.
Learn MoreReal-Time Sentiment Analysis
A big data project using Kafka and Spark ML.
Project Details
This project analyzes social media data in real-time to gauge public sentiment on various topics.
Learn MorePredictive analysis and modelling football results using deep learning
This is a Neural Network (NN) model for predicting Premier League football results.
Project Details
In this project, I developed a Neural Network model to predict Premier League match outcomes, utilizing various technologies to extract, clean, and prepare the data for training.
Learn MorePREDICTIVE MODELING OF HEART DISEASE PERCENTAGE FOR A GIVEN CITY
This project uses multiple linear regression to model heart disease risk factors, such as smoking and biking, using Kaggle data to identify key predictors and their impact on heart disease.
Project Details
The analysis revealed that heart disease decreases by 0.2% for every 1% increase in biking and increases by 0.177% for every 1% increase in smoking, highlighting the contrasting effects of these variables.
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