The Data Scientist supports the Office of Vice-Chancellor for Institutional Planning and Effectiveness by developing descriptive, predictive and prescriptive models using machine learning algorithms, conducting statistical analyses to support decision-making for higher management, and providing recommendations, based on data analytics, to enhance academic quality, student success, and performance effectiveness of colleges/offices, with particular focus on MOHESR Outcome-based Evaluation Framework (OBEF).

• :Data Analysis / Data Engineering: Collect, clean, and preprocess data for analysis in the context of Higher Education Institutions (HEIs)
• .ML Modeling: Develop predictive and prescriptive models using machine learning algorithms
• .Statistical Analysis: Conduct statistical analyses to highlight the gaps in achieving the specified targets of OBEF KPIs, support decision-making, and solve business problems