Societe Generale Global Solution Centre Interview Questions, Process, and Tips for Experienced

I have strong project management skills with experience in leading cross-functional teams and delivering projects on time and within budget.

• Experience in creating project plans and timelines

• Ability to effectively communicate with stakeholders and team members

• Skilled in risk management and problem-solving

• Proficient in using project management tools such as Asana and Jira

I have 5 years of experience managing projects using PMP frameworks.

• Led cross-functional teams to successfully deliver projects on time and within budget

• Implemented PMP methodologies such as risk management and stakeholder communication

• Utilized tools like Gantt charts and critical path analysis to track project progress

• Obtained PMP certification to enhance project management skills

Use a hash set to remove duplicates in an array of strings

• Create a hash set to store unique elements

• Iterate through the array and add each element to the hash set

• Convert the hash set back to an array to get the unique elements

React virtual DOM is a lightweight copy of the actual DOM, used for efficient updates and rendering in React applications.

• Virtual DOM is a concept where a lightweight copy of the actual DOM is created in memory.

• React uses virtual DOM to efficiently update and render components without directly manipulating the actual DOM.

• When changes are made to the virtual DOM, React calculates the most efficient way to update the act...read more

React hooks are functions that let you use state and other React features without writing a class.

• React hooks were introduced in React 16.8 to allow functional components to have state and lifecycle methods.

• useState() is a hook that allows you to add state to functional components.

• useEffect() is a hook that allows you to perform side effects in functional components.

• useContext() is a hook that allows you to use the con...read more

KPIs for unbalanced datasets include precision, recall, F1 score, ROC AUC, and confusion matrix.

• Precision: measures the proportion of true positive predictions among all positive predictions

• Recall: measures the proportion of true positive predictions among all actual positive instances

• F1 score: balances precision and recall into a single metric

• ROC AUC: measures the area under the receiver operating characteristic curve

• ...read more