🌀 Rapidly build feature-rich data portals using a modern frontend framework. Native CKAN support. OpenMetadata and Git compatible.

head/tail for structured data - summarize/preview JSON/YAML and source code

Lesson guide and textbook for "Data as a Science" course.

🌀 The JS data presentation framework. For a single dataset to a full catalog.

Tool to assemble HTML reports using python components with charts and diagrams.

PC application to communicate with an Edimax SP2101W smart plug and to collect measured power data from it

🔷 Data Cleaning and Insight Generation from Survey Data 🔷 Cleaned and preprocessed Kaggle’s Data Science Survey data, handling missing values, duplicates, and categorical responses. Applied label encoding and normalization to prepare the dataset for analysis. Built 12+ visualizations (pie, scatter, box, line, heatmap, etc.)

Udacity Nanodegree Program, a data analysis project using the Pisa2012 dataset.

📑 SPA application for convenient presentation and work with large arrays of data, sorting, search, editing data

Use the Layout View as a master View in master-detail mode.

Visualize many-to-many relationship of Entity Framework objects.

This data contains 113,937 loans with 81 variables on each loan, I have provided 30+ visualizations of a selected few variable features that best explain and give insights to how loans are measured and to what factors that determine a loan interest

Data analysis app built by pyqt5 & various machine learning libraries

This repository is a collection of all the solutions of tasks that were assigned to me during my Data Analytics Virtual Internship Experience Program at Quantium. 💻📚📊

I chose a dataset from kaggle and performed an EDA, over 30 insights (visualization) was produced. The key insights is presented in a Jupyter Notebook slide..

This repo seeks to Explore The Variables That are Pivotal In Predicting a Borrowers Loan outcome.

Data Analysis of Sprocektly Central Private Limited

A graphical user interface (GUI) application for selecting and analyzing HDsEMG channels from .mat files. This tool helps identify and exclude faulty channels (e.g., due to electrode misplacement or corrosion) from HDsEMG recordings, enabling more accurate and efficient analysis.

This repository contains my capstone project for the IBM Data Science and Machine Learning Professional Certificate program. The project showcases my skills in data science and machine learning, including data collection, preprocessing, analysis, and modelling. The goal of the project is to solve a real-world problem using data-driven techniques.

Collection of personal python projects