Collaborate with domain experts and stakeholders to understand business objectivesand translate them into data science projects.Collaborate with data engineers by providing inputs on database design and datastorage for continuous quality improvement of data pipelines to ensure data availabilityfor analysis.Perform exploratory data analysis (EDA) to identify trends, patterns, and outliers in thedata.Preprocess data from various sources to ensure data quality, integrity, andappropriateness in machine learning models.Create data applications that employ supervised learning to develop and regularlyupdate credit scoring models to assess the creditworthiness of microfinance clients.Analyze the performance of the loan portfolio using created interactive maps to identifytrends, risks, and opportunities.Segment clients based on demographic, behavioral, or other relevant variables, andassist in developing targeted promotional campaigns appropriate for specific customersegments.Utilize predictive modeling to forecast loan delinquencies, client attrition, and portfolioperformance and implement early warning systems to detect potential issues.Promote ethical data collection, usage, and sharing practices that prioritize client privacyand data security.Provide actionable recommendations through predictive and prescriptive analytics toreinforce decision-making across different business functions.

Establish a directory of data sources used by the organization, including databases, applications, files, APIs, and data feeds.Establish data governance procedures and policies aligned with the Data Privacy Guidelines to ensure data stewardship, ownership, and regulatory complianceCreate a data schema that presents the structure and relationships of data from various sourcesExtract data from various sources, change it into a consistent format, and load it into the unified database through Extract, Transform, Load pipelinesEnsure that the data is correct, comprehensive, and consistent by implementing data quality checks and cleaning proceduresRegulates access and edits on the data, develops access control policies, and puts security measures in place to secure sensitive dataProvide training and support on the use of modified databases, data cleaning, and data preprocessing

Demonstrate analytical skills, leading to at least two (2) published research articles per year, increasing the department's annual publications output to more than 10%.Consistently receive "Very Satisfactory" ratings in the annual comprehensive faculty evaluation, proof of excellent content delivery that is vital in achieving the department's target KPI.Awarded for professional contributions to the field of Mathematics and Physics.

Build customer applications using ABAP programming with an organized testing stage resulting in minimal issues.Deliver customer requirements to the production system, utilizing ITIL processes and ensuring smooth turnover to the business team.Analyzes performance data, e.g., application CPU utilization, database server status, background job run times, etc., ensuring a healthy production system on a daily basis.

Deliver customer requirements to the production system, utilizing ITIL processes and ensuring smooth turnover to the business team.