A dedicated and aspiring data scientist with an objective of working in an organization that provides opportunities for technical and personal advancement. I have one year of experience in predictive modeling, deriving u…
A dedicated and aspiring data scientist with an objective of working in an organization that provides opportunities for technical and personal advancement. I have one year of experience in predictive modeling, deriving useful insights from data, and implementing statistical machine learning algorithms I also have hands-on experience in quantitative model development, testing, validation, and monitoring in the risk and AML domains
A data science professional with one year of experience in predictive modelling, machine learning and risk analyst banking domain. Conducted different statistical analysis, created different scenario logics , documentation. Used different programming languages.
Conducted data analysis and derived insights using various statistical methodologies and data visualization using Python libraries (Pandas, Skt-learn, Seaborn, etc.).
Processing, cleansing, transforming and validating the integrity of data to be used for analyzed using machine learning tools to select features, create and optimize classifiers.
Analyzed model prediction accuracy using classification reports, confusion matrix, AUC score, etc.
Worked on scenario typology mapping, assessment, scenario settings, and threshold validation alert management and controls.
Worked on the AML project of threshold optimization and setting thresholds that were optimized and set using prior SARs and statistical methods.
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