Keeping Inventory of spare in various service centre to the market demand is always a challenge as most service centres spends significant amount in spare parts inventory costs. In spite of this, availability of spare parts is been one of the problem areas.

In this section, we will use machine learning algorithms to perform time series analysis.

Prediction of road casualties and evaluate the impact of transformations in Time Series Modeling and Forecasting with ARIMA using the R programming language

определить характеристики и с их помощью спрогнозировать длительность поездки такси

This is the task-1 of let's grow more virtual internship program. The aim of the task is as a security/defense analyst, try to find out the hot zone of terrorism.

This work centers on assessing and comparing predictive models for regression and time series prediction using specific datasets, with the goal of selecting the most effective methodology for unseen test data.

Developed during my internship at Tata Motors, this interactive dashboard monitors and analyzes electrical power usage using Dash and Plotly. It offers shift-wise analysis, trend/seasonality detection, and a 7-day SARIMA consumption forecast. Users can filter data by stations, shifts, and custom date ranges for detailed insights.

This repository contain projects completed during my graduate study in Data Science & Analytics at the J. Mack Robinson College of Business, Georgia State University. I worked as part of a team of 4 or 6 members and we equally contributed in completing tasks and preparing final documentations (code file, report & PowerPoint presentation).

📊🚀 Explore the Data Science Universe! Unlock insights and master data skills with hands-on assignments spanning machine learning, visualization, and more. Your journey to becoming a data expert starts here! 🎯💡 DataScienceJourney