Shozab Ansari

Collaborated to establish a robust Risk Management Framework, integrating Risk Architecture, Risk Appetite Statements, Key Risk Indicators and Enterprise Risk Management. Designed and developed reporting by conducting data analysis across various risk activities like RCSAs, Control Testing, Third Party Risk management and Operational Resilience, Risk events and Issues management.

Designed and socialized payment monitoring reports and dashboards for EMT using SQL, Advanced Excel and R. Diligently executed daily payment monitoring and transaction analysis for fraud detection, utilizing rules-based tools and advanced data analysis techniques.

Maintained database for sales and created purchase orders and goods delivery logistic plan using Microsoft Excel for different products for e-commerce client. Gained knowledge of the supply chain and logistics of the products across the country.

Activities and societies: Thesis: Assessment of soil quality using machine learning algorithms (Random forest, Support vector machines, extreme gradient boosting etc.). Classified different types of soils based on salinity level.

Completed a Master of Science in Data Analytics. Thesis focused on assessing soil quality using machine learning algorithms, including Random Forest, Support Vector Machines, and Extreme Gradient Boosting, to classify soil types based on salinity levels.

Activities and societies: Project: Predictive analysis of customer behaviour for choosing mobile network providers using data mining techniques likes K- Nearest Neighbour, classification etc.

Earned a Bachelor of Technology in Information Technology. Undertook a project on predictive analysis of customer behavior for mobile network provider selection, utilizing data mining techniques such as K-Nearest Neighbor and classification.