A comprehensive dimensional model for COVID data, enabling insights for future vaccination campaigns through robust visual analytics.

Data analytics projects done at trainity throughout my 8week training

Complete Tutorial for all basic concepts to use Pandas at beginner level.

This is our Machine Learning course project. Predict the user based on its cursor movements.

Airbnb price prediction with machine learning models using Amsterdam dataset.

Successfully established a supervised machine learning model that can accurately predict whether the travel insurance claim of a particular customer should be approved or not by a travel insurance agency.

This is a Dataquest project that focuses on creating an efficient workflow

This repository contains the data analysis of the sales for an electronic store for the year 2019. The analysis is performed using Python programming language and various data analysis libraries

Data cleansing and handling missing data for a survey conducted by Stack Overflow

Join our mission to enhance aviation safety by diving into a century's worth of aerial accidents. As the data analyst for the International Civil Aviation Organization (ICAO), I've meticulously examined data, conducted extensive analyses, and developed an interactive Tableau Dashboard to provide insightful visualizations.

About This project is an EDA endeavor that delves into the world of Google Play Store data. This project uncovers valuable trends, patterns, and statistics within the Play Store ecosystem. From app categories and user reviews to pricing and app sizes, the project offers a comprehensive analysis of this dynamic and ever-expanding marketplace.

Explore NYC Green Taxi data, predicting fares and optimizing pickup locations using machine learning. Regression models uncover travel patterns and enhance taxi services for an efficient urban transport experience.

This is a group project in a programming course where we used Python to visualise data in order to examine any possible relations between bike usage and population distribution in Helsinki and Espoo.

A comprehensive Data analysis project using SQL for data cleaning and pre-processing and Tableau for visualization, focusing on key HR KPIs. Features interactive dashboards and detailed insights.

Designed and implemented machine learning and deep learning models to diagnose gearbox faults. Preprocessed sensor data, engineered features, and trained models using techniques like SVM, random forests, LSTM and naive bias. Evaluated model performance and optimized hyperparameters to achieve high diagnostic accuracy.

Helping the authorities to better understand traffic problems and to establish public policies to minimize this issue, and for insurance companies to define their commercial policy

Building reports for analysing the trends amongst sales of individual iPhone models and visualise it in the form of Plots. The objective is to acknowledge the relationship between highest rated iPhone models and its sale.

EngageInsight analyzes user interactions in comment data. It provides insights through visualizations created using Python libraries like Pandas and Matplotlib. The project aims to uncover patterns and trends in user engagement. The visualizations provide an overview of comment lengths, the frequency of different types of replies.

Comprehensive object detection using YOLOv5, trained from scratch. Includes data preparation, YOLOv5 training on 20 labels, and testing on images/videos. Utilizes Google Colab's V100 GPU for robust detection.