Wabtec Interview Questions, Process, and Tips

I rate myself 9/10 in Python and 8/10 in AI.

• Strong proficiency in Python programming language

• Experience in developing AI/ML models using libraries like TensorFlow and PyTorch

• Knowledge of various AI algorithms and techniques

• Ability to optimize and fine-tune models for better performance

I am currently working on developing a machine learning model for predicting customer churn in a telecom company.

• Collecting and preprocessing customer data such as call logs, usage patterns, and customer demographics

• Building and training a predictive model using algorithms like logistic regression and random forest

• Evaluating the model's performance using metrics like accuracy, precision, and recall

• Implementing the mode...read more

Generative AI is a type of artificial intelligence that is capable of creating new content, such as images, text, or music.

• Generative AI uses algorithms to generate new data based on patterns in existing data.

• Examples include deep learning models like GANs (Generative Adversarial Networks) for creating realistic images, and language models like GPT-3 for generating human-like text.

• Generative AI can be used in various f...read more

AI/ML pipelines on cloud involve data ingestion, preprocessing, model training, evaluation, and deployment.

• Utilize cloud services like AWS Sagemaker, Google Cloud AI Platform, or Azure Machine Learning

• Ingest data from various sources into cloud storage like S3 or Google Cloud Storage

• Preprocess data using tools like Apache Spark or TensorFlow Transform

• Train models using distributed computing resources on the cloud

• Evalua...read more

Transformer architecture is a deep learning model that utilizes self-attention mechanism for sequence processing.

• Transformer architecture is based on self-attention mechanism, allowing the model to weigh the importance of different input tokens when making predictions.

• It consists of an encoder and a decoder, with multiple layers of multi-head self-attention and feedforward neural networks.

• Transformers have been widely ...read more

Currently working on OCR project focusing on validation and testing

• Developing validation strategies to ensure accuracy of OCR results

• Creating test cases to evaluate OCR performance under different conditions

• Utilizing ground truth data for benchmarking OCR accuracy

• Implementing error analysis techniques to identify and address common OCR mistakes

Diesel locomotive engines perform various functions such as generating power, controlling speed, and providing traction.

• Diesel engines convert fuel into mechanical energy through combustion

• They power the locomotive by driving the wheels through a transmission system

• They control the speed of the locomotive by adjusting fuel intake and exhaust

• They provide traction by transferring power to the wheels to move the train

• They...read more

Locomotive piping functions include transporting fluids, controlling pressure, and cooling systems.

• Transporting fluids such as water, steam, and oil throughout the locomotive

• Controlling pressure to ensure proper operation of various systems

• Cooling systems to prevent overheating of components

• Examples: brake pipe for controlling air pressure, water piping for cooling the engine