Ebrahim Abtahizadeh

Dr. Ebrahim Abtahizadeh, an AI and Data Science expert, demonstrates a passion for delivering actionable insights through advanced analytical techniques and innovative data retrieval methods. As a strategic visionary, Ebrahim excels in predictive modeling and research-driven strategic planning.

Ebrahim's expertise in navigating complex data sets has established him as a valuable advisor. Holding a Postgraduate Certificate in Artificial Intelligence and Machine Learning from the University of Texas at Austin and a PhD in Mechanical Engineering from Eindhoven University of Technology, Dr. Abtahizadeh leads the AI division at JLR. He excels in developing AI solutions with a focus on bias mitigation, fairness, and robustness, ensuring compliance with industry standards.

Ebrahim's proficiency in machine learning, signal processing, and programming languages, particularly Python and Matlab, complemented by his expertise in TensorFlow, Keras, and various machine learning techniques, positions him as both a leader and a technical expert.

AI-Driven Forecasting Model for Product Sales

Role: Lead AI Scientist

Duration: June 2022 – November 2023

Technologies Used:

• Python, TensorFlow, Keras, Time Series Analysis

Key Responsibilities:

• Led the development and implementation of an AI-based forecasting model.
• Collaborated with the sales and marketing teams to understand key drivers of product sales.

Project Overview:

• The goal was to develop a predictive model to forecast future product sales with high accuracy, aiding in inventory management and marketing strategies.

Approach and Implementation:

• Utilized time series analysis and deep learning algorithms in TensorFlow and Keras.
• Conducted data preprocessing and feature engineering to enhance model accuracy.
• Developed a recurrent neural network (RNN) model to predict sales trends.

Results and Impact:

• Successfully achieved a 98% accuracy rate in sales forecasting.
• The model significantly improved inventory planning and marketing efforts, contributing to a 15% increase in sales efficiency.
• Received commendation from the senior management for the innovative approach.

Learning and Development:

• Gained expertise in advanced time series forecasting techniques.
• Enhanced skills in collaborative project management and cross-functional communication.