Bharat Petroleum Interview Questions, Process, and Tips

I am a research engineer with a background in mechanical engineering and a passion for developing innovative solutions.

• Completed a Master's degree in Mechanical Engineering from XYZ University

• Published research papers on renewable energy systems

• Experience working on projects related to fluid dynamics and heat transfer

• Proficient in using simulation software such as ANSYS and MATLAB

A heat exchanger is a device used to transfer heat between two or more fluids.

• Heat exchangers are commonly used in various industries, such as HVAC, chemical processing, and power generation.

• They can be classified into different types based on their construction and flow arrangement, such as shell and tube, plate, and finned.

• The mass balance equation for a heat exchanger states that the mass flow rate of fluid entering...read more

The Carnot cycle is a theoretical thermodynamic cycle that describes the most efficient heat engine possible.

• The Carnot cycle consists of four reversible processes: isothermal expansion, adiabatic expansion, isothermal compression, and adiabatic compression.

• The efficiency of the Carnot cycle is given by the equation: efficiency = 1 - (Tc/Th), where Tc is the temperature of the cold reservoir and Th is the temperature o...read more

I.C. Engine is an internal combustion engine that converts chemical energy into mechanical energy. Otto Cycle and Diesel Cycle are two types of I.C. Engines.

• I.C. Engine stands for Internal Combustion Engine.

• It is a type of engine that converts chemical energy into mechanical energy.

• Otto Cycle is a type of I.C. Engine used in gasoline/petrol engines.

• It consists of four strokes: intake, compression, power, and exhaust.

• Di...read more

In my B. Tech project, I developed a machine learning algorithm for predicting stock prices.

• Researched various machine learning models suitable for stock price prediction

• Collected and preprocessed historical stock market data for training the algorithm

• Implemented the algorithm using Python and libraries like TensorFlow and scikit-learn

• Evaluated the performance of the algorithm through backtesting and comparison with ex

I am a research engineer with a background in mechanical engineering and a passion for developing innovative solutions.

• Completed a Master's degree in Mechanical Engineering

• Published research papers on renewable energy technologies

• Experience working on projects involving fluid dynamics and heat transfer

• Proficient in using simulation software such as ANSYS and MATLAB

Developed a machine learning model for predicting stock prices using LSTM neural networks.

• Implemented LSTM neural networks in Python using TensorFlow library

• Collected and preprocessed historical stock price data for training the model

• Evaluated the model performance using metrics like Mean Squared Error and Accuracy

• Optimized hyperparameters to improve prediction accuracy

Designed and implemented a smart irrigation system using IoT technology

• Researched different sensors for measuring soil moisture and temperature

• Developed a mobile application for users to monitor and control the irrigation system remotely

• Implemented machine learning algorithms to predict optimal watering schedules

• Conducted field tests to validate the system's effectiveness

• Collaborated with agricultural experts to ensure

Bio-diesel is a renewable fuel made from vegetable oils or animal fats. Lubricity is its ability to reduce friction and wear in engines.

• Bio-diesel is a type of fuel that is derived from renewable sources such as vegetable oils or animal fats.

• It is produced through a process called transesterification, where the fats or oils are chemically reacted with an alcohol to form bio-diesel and glycerin.

• Bio-diesel can be used as...read more