Syngenta Data Analyst Interview Questions and Answers

Order to cash cycle is the process of receiving and fulfilling customer orders, invoicing, and receiving payment.

• Order is received from customer

• Order is processed and fulfilled

• Invoice is generated and sent to customer

• Payment is received from customer

• Accounts receivable is updated

Depreciation is the allocation of the cost of a tangible asset over its useful life.

• Depreciation is a non-cash expense that reduces the value of an asset over time.

• It reflects the wear and tear, obsolescence, or decrease in value of the asset.

• Common methods of calculating depreciation include straight-line, double declining balance, and units of production.

• Example: A company purchases a delivery truck for $50,000 with ...read more

Accrual refers to the recognition of revenues and expenses when they are incurred, regardless of when cash is exchanged.

• Accrual accounting matches revenues with expenses in the same accounting period, even if cash has not been exchanged.

• Accruals are used to provide a more accurate representation of a company's financial position and performance.

• Examples of accruals include accounts receivable, accounts payable, and acc

Data science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data.

• Data science involves collecting, analyzing, and interpreting large amounts of data to solve complex problems.

• It combines statistics, machine learning, data visualization, and domain expertise to make data-driven decisions.

• Examples of data science applic...read more

Machine learning algorithms are techniques used to enable machines to learn from data and make predictions or decisions without being explicitly programmed.

• Supervised learning algorithms: Decision Trees, Random Forest, Support Vector Machines

• Unsupervised learning algorithms: K-means Clustering, Hierarchical Clustering, Principal Component Analysis

• Reinforcement learning algorithms: Q-Learning, Deep Q-Networks

• Deep learni...read more