Data Science for Supermarket Customer Retention
DeltaFi is a flexible, code-light data transformation and normalization platform.
A large pile of interesting and/or useful information
A cloud function that allows you to normalize a given dataset by scaling the values to a specific range.
The study developed CNN, VGG-16, and ResNet-50 models to classify brain MRI images into hemorrhagic stroke, ischemic stroke, and normal . The dataset was processed for image quality, split into training, validation, and testing sets, and evaluated using accuracy, precision, recall, and F1 score.
Feature wise normalization: An effective way of normalizing data
Highlighting expertise in data migration, data normalization and standardization, this project demonstrates successful data transfer from Snowflake to Databricks. It emphasizes optimized data flow and enhanced accessibility through standardization, showcasing a commitment to ethical data practices.
The Blood Bank Management System (BBMS) is designed to streamline and manage the various operations of a blood bank efficiently. This system is implemented using a relational database, and the following DDL and DML
The purpose of this project is to develop a machine learning model that predicts employee attrition (whether an employee will leave the company) and department assignment (which department an employee belongs to) based on various factors. These factors include age, travel frequency, education level, job satisfaction, marital status, and more.
The aim of this project is to develop, design, and build a comprehensive and scalable database system for Olist Store to handle potential increases in data volume and allow for more efficient data collection, retrieval, and organization.
The purpose of this project is to predict student loan repayment success using a neural network. Neural networks are computational models inspired by the human brain's structure and function, consisting of layers of interconnected nodes or "neurons" that can learn to recognize patterns in data.
* Basis EDA * Handling Null/Missing Values * Handling Outliers * Handling Skewness * Handling Categorical Features * Data Normalization and Scaling * Feature Engineering *Accuracy score *Confusion matrix *Classification report
Super Store Sales Analysis using Power BI
FreeCodeCamp data analysis challenge: Medical Data Visualizer 📊
Adventure Works Bike Shop Analysis using Power BI
A compilation of my projects in Data Science, Artificial Intelligence, Machine Learning, Natural Language Processing, and Data Analytics
Maven Market Analysis using Power BI
Kedar Ecommerce Analysis using Power BI
Contact data normalization adapted from the Empreinte Sociométrique's normalizers
ETL batch processing data pipeline from the Costa Rica Stock Exchange (Bolsa Nacional de Valores de Costa Rica)
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