Business Risk Consulting
Ernst & Young
Total years of experience :8 years, 4 Months
1. To identify and evaluate the client’s risk areas covering all significant processes and provide comprehensive input to the development of a risk-based annual internal audit plan.
2. To supervise a team of internal audit personnel across different client engagements. Plan, organize, direct, and monitor internal audit operations, including overall quality of deliverables, processes, and completion of projects within the budgeted timeline.
3. Develop relevant audit programs and procedures including Risk and Control Matrix. (RCM).
4. Manage the performance of audit procedures. This includes identifying and defining issues, developing criteria, reviewing, and analyzing evidence, and documenting client processes and procedures.
5. Monitor progress, manage risk, and ensure key stakeholders are kept informed about progress and expected outcomes.
6. Assist the engagement director with the identification of any new firm services or new clients. Prepare and track proposals and conduct proposal meetings with clients. Responsible for developing and growing business and managing portfolio of clients.
1. Aid in the development of a market-leading database in Energy/ Oil & Gas.
2. Researching markets using both systematic and intuitive secondary research techniques.
3. Delivering insightful and original market, product, or company analysis in quantitative (databases, models) and qualitative (profiles, presentations, reports) forms to publishable standards.
4. Developing quantitative materials including modeling and forecasting data based on qualitative and quantitative factors.
5. Playing a key support role in developing team products, processes, and content.
6. Identifying, analyzing, and interpreting trends or patterns in complex data sets and working with management to prioritize business and information needs.
1. Track, analyze, and manage KPIs to improve drilling operations and identify areas to enhance performance and improve operations.
2. Preparation of Log and Data visualization in industry-standard templates.
3. Obtain relevant data, carry out engineering analysis on-site, recommend necessary actions and write up reports, and prepare well datasheets.
4. To keep track of current daily costs, compare actual costs with expenditure proposals, and recommend cost-effective changes.
5. To work with multidisciplinary professionals to evaluate the commercial viability of the well and monitor progress during drilling.
1. Developing daily reports which include essential measured data and descriptions of activities, trends, and recommendations for improvements.
2. Learning and assisting with recognizing trends in real-time data which relate to improvement opportunities or the health of the well and the avoidance of drilling hazards.
3. Assisting with and ensuring essential personnel have access to real-time information or are informed promptly of improvement opportunities or trends that suggest potential drilling hazards. This will include assisting field operations personnel with data analysis and assisting decision-making.
Key Course Components: Data Exploration and Analysis: The program starts with an emphasis on data exploration and analysis techniques. Students learn to collect, clean, and preprocess data from various sources, such as databases, spreadsheets, APIs, and web scraping. They acquire proficiency in using programming languages like Python and R, along with data visualization libraries like Matplotlib and Seaborn, to derive meaningful insights from diverse datasets. Statistical Analysis: A solid foundation in statistical concepts is essential for data scientists and business analysts. Students gain an understanding of descriptive and inferential statistics, hypothesis testing, and experimental design. They learn how to apply statistical methods to draw meaningful conclusions from data and make data-driven decisions. Machine Learning and Predictive Modeling: The heart of the program lies in machine learning and predictive modeling. Students explore a wide array of algorithms, including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. They develop a deep understanding of both supervised and unsupervised learning techniques, enabling them to build predictive models and uncover patterns in data. Big Data and Distributed Computing: With the exponential growth of data, the program introduces students to big data technologies like Hadoop and Spark. They learn how to leverage distributed computing to process and analyze large-scale datasets efficiently. Business Intelligence and Decision-Making: The integration of data analytics into business decision-making processes is a crucial aspect of the program. Students discover how data-driven strategies can lead to a competitive advantage in various industries. They gain insights into key performance indicators (KPIs), data-driven product development, and the role of data analytics in driving business growth. Data Visualization: Data visualization is a powerful tool for conveying insights to non-technical stakeholders. Students learn to create compelling visualizations using tools like Tableau and Power BI, enabling them to communicate complex findings effectively. Deep Learning and Neural Networks: In recent years, deep learning has revolutionized various fields, including computer vision, natural language processing, and speech recognition. The program covers advanced techniques in deep learning, allowing students to tackle complex problems in these domains.
MBA in Oil and Gas Management offers a comprehensive understanding of the dynamic energy sector, combining business acumen with specialized industry knowledge. This program equips students with skills to navigate the complexities of energy markets, strategic resource management, and sustainable practices. From exploration and production to distribution and policy, graduates gain insights into the global energy landscape. With a focus on leadership and innovation, this MBA cultivates professionals capable of driving efficiency, profitability, and environmental responsibility in the oil and gas industry.
Bachelor of Engineering (BE) in Mechanical Engineering empowers students with a solid foundation in designing, analyzing, and optimizing mechanical systems. From machines to manufacturing processes, this program equips learners with a deep understanding of principles driving innovation and efficiency. With a blend of theoretical knowledge and hands-on experience, students grasp the intricacies of mechanics, thermodynamics, and materials science. Graduates are poised to excel in diverse industries, from automotive to aerospace, where they contribute to creating, improving, and maintaining cutting-edge technologies that shape the modern world.