Jana Center: to know more about Jana Center, please visit their website https://

Jana Center:
to know more about Jana Center, please visit their website https://jana-sa.org/
Attached is sample paper, and dataset for further analysis (analysis shall be through python)
for the project objectives and the questions, below is one recommendation, you can as analyst change and adjust as needed.
Project objectives:
To identify and analyze the patterns and factors influencing loan disbursement and repayment among individuals in different regions of Saudi Arabia. This analysis aims to understand how demographic and socio-economic variables such as age, nationality, marital status, academic qualification, family income, number of dependents, and the sector of the loan influence the loan amount disbursed, the repayment rate, and the timing of loan disbursement.
Specific Questions to Address:
What are the demographic and socio-economic characteristics of individuals who apply for and receive loans in different regions of Saudi Arabia?
How does the loan disbursement amount vary across different sectors (e.g., cooking, salon businesses, makeup services) and demographic groups?
What factors contribute to a 100% repayment rate, and how can these insights inform strategies to improve loan repayment rates across all sectors?
Is there a relationship between the loan period, the amount disbursed, and the repayment rate?
How do external factors, such as the time of year or economic conditions, impact loan disbursement and repayment patterns?
PROJECT GENERAL GUIDELINES:
Singles-spaced.
1.5-2 pages max excluding references
Font size 11.
Two columns page setup.
References should be listed in an acceptable format (for example APA style).
Use headings and sub-headings styles.
Organizes the report in a logical and coherent manner.
Demonstrates effective communication skills with clear and concise writing.
Uses appropriate visualizations and diagrams to support the analysis.
Presents the technical details in a way that is understandable to a non-technical audience.
Provides appropriate citations and references to support claims and findings
Section1: Introduction & Problem Identification (2 pages)
Clearly defines the business problem or question to be addressed.
Describes the relevance and significance of the problem in the business context.
Provides a clear objective or goal for the project.
Identifies the target audience or stakeholders for the analysis.
Demonstrates a clear understanding of the data required to address the problem.
Section2: Background/Review of the Literature (2 pages)
Conducts a comprehensive review of relevant literature, theories, and frameworks related to the problem. (minimum 14)
Identifies and explains the key concepts and variables related to the problem.
Shows an understanding of existing research or similar projects in the field.
Analyzes and presents any existing data sources or datasets relevant to the problem.
Section3: Methodology (2 pages)
Clearly defines the methodology or approach used to address the problem.
Explains the rationale behind the chosen methodology (e.g., descriptive analytics, predictive analytics, prescriptive analytics).
Describes the data collection process and data preprocessing techniques used.
Discusses any assumptions or limitations of the chosen methodology.
Section4: Analysis and Findings
Performs appropriate data exploration and preprocessing techniques to gain insights from and prepare the data for analysis.
Applies relevant statistical or machine learning techniques to analyze the data.
Presents the analysis results in a clear and structured manner (e.g., data visualizations, summary statistics).
Provides a thorough interpretation and explanation of the analysis findings.
Evaluates the accuracy and reliability of the analysis results.
Section5: Discussion and Insights (2 pages)
Interprets the analysis results in the context of the business problem.
Identifies and discusses any patterns, trends, or relationships discovered.
Provides meaningful insights and recommendations based on the analysis findings using business language.
Relates the insights to the original problem statement and project objectives.
Considers any ethical, legal, or social implications of the analysis findings.
Section6: References
Accurately cites all the sources used in the project, following a consistent citation style (i.e., APA style).
Provides in-text citations where appropriate to support claims and findings.