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?Interview with Amer | International Research Article Publication?

Education

Introduction

Welcome to our weekly series where our students showcase their progress in getting their research papers published in international journals. Today, we have the pleasure of speaking with Amir Hossein, who has published a paper titled “Automotive Kit Demand Forecasting Using Advanced Forecasting Models: A Data-Driven Approach for Optimal Demand Forecasting.”

Introduction

Before diving into Amir's project, let’s discuss how 360 Digit MG is positioned to help students secure placements. The distinction between a typical student in another institute and a student from 360 Digit MG is clear. While both students complete their assignments and training, the 360 student benefits from hands-on experience under real-time practitioners who are currently engaged in live projects. This experience provides insightful knowledge about working on actual projects, unlike dummy projects that are often used in traditional institutions.

The Client’s Challenge

Amir's project revolves around a business challenge faced by a leading manufacturer in India. The client struggled with efficiently sourcing unique automotive kit items to meet customer demand. Each kit consists of various automotive parts such as clutches, chains, sprockets, and fuel pumps. The uniqueness of each kit presents a challenge in forecasting how many kits each customer will purchase in the future, thus directly impacting efficient delivery and supply consistency.

Project Objectives

The primary objective of the project is to maximize efficient kit delivery by accurately forecasting customer demand. The business success criteria included minimizing delays by at least 10% and achieving a forecasting model accuracy of at least 90%. Economically, the aim was to achieve a cost saving of at least $ 1 million.

Project Architecture

Amir explained that the architecture of the project serves as a blueprint for how the work would be structured. It starts with data collection, which may come from various servers or cloud storage. The data is initially stored in a SQL database before moving on to exploratory data analysis (EDA) to identify noise, seasonality, and trends.

Subsequent steps include data cleaning, preprocessing, model building, and evaluation. Several advanced and traditional data-driven models are employed, and the best-performing model is selected for deployment using a framework called Streamlit on an AWS EC2 instance.

Output and Interface

The project’s web interface allows users to upload data and select customer kits for forecasting. Users can choose the length of the forecast, click a button for the forecast, and receive the predicted results.

Challenges Encountered

One of the most significant challenges Amir faced was dealing with missing values in the data. Proper research and testing were required to handle the missingness appropriately to ensure high-quality results.

Tips for Students

Amir has some valuable advice for students: “Always try to resolve challenges on your own first. Conduct thorough research and try addressing issues from all angles before seeking guidance from a mentor.”

Students at 360 Digit MG are not just trained in theoretical concepts but also gain practical experience that prepares them for the workforce. They work on real-time projects, utilize tools like Python, Power BI, AWS, and SQL, and even have the opportunity to have their work published in international journals, enhancing their resumes significantly.

For those interested in accessing a wide range of free tools for learning and career preparation, numerous resources are available at 360 Digit MG's website. These include mind maps, machine learning architecture assistance, resume optimization, and animated learning modules.

360 Digit MG maintains a presence on various platforms including LinkedIn, YouTube, Facebook, and Instagram. For inquiries, you can reach out to their toll-free number or email them at inquiry@360digitmg.com.

360 Digit MG has branches in Hyderabad, Bengaluru (HSR Layout), and Chennai, making it accessible for students across regions.

Keywords

  • Automotive Kit Demand Forecasting
  • Data-Driven Approach
  • Model Building
  • Real-Time Projects
  • SQL Database
  • Machine Learning
  • Exploratory Data Analysis
  • Streamlit
  • AWS EC2

FAQ

  1. What is the focus of Amir Hossein's research?

    • The focus is on forecasting demand for automotive kits using advanced forecasting models.

  2. What were the significant challenges faced during the project?

    • A major challenge was handling missing values in the dataset effectively.

  3. What was the economic success criterion for the project?

    • The goal was to achieve cost savings of at least $ 1 million.

  4. What tools and technologies did Amir use in his project?

    • Amir utilized Python, Power BI, AWS, and SQL for different aspects of the project.

  5. What advice does Amir give to students facing challenges?

    • He suggests that students should first attempt to solve problems independently through thorough research before consulting their mentors.