I am a passionate Data Scientist with experience in developing innovative solutions for data-driven challenges. Skilled in Python, SQL, Machine Learning, and Business Intelligence.
Download My CVI 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.
R project involves building and evaluating multiple regression models to predict prostate cancer outcomes.
This R project evaluates multiple regression models—Linear, PCA, Ridge, Lasso, and Elastic Net—for predicting prostate cancer outcomes.
Learn MoreA big data project using Kafka and Spark ML.
This project analyzes social media data in real-time to gauge public sentiment on various topics.
Learn MoreThis is a Neural Network (NN) model for predicting Premier League football results.
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 MoreThis 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.
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.
Learn MoreDeveloped a BI solution for sales analysis and optimization.
Worked on LSTM model for spelling correction.
Analyzed agronomic data to enhance agricultural productivity.