Business Analyst
Current- Prepared NLP-based document categorization system for limitation descriptions, initially using LDA for topic abstraction. Later, applied a rule-based approach for topic identification and utilized TF-IDF and n-gram models for crucial keyword extraction and determining underlying topics- Trained supervised machine learning models for text classification, achieving 96% accuracy and 0.91 f1-score in multiclass classification using logistic regression- Executed ATM cash management project using the Prophet time series forecasting model to predict cash dispenses for the next 7 days with a MAPE of 5.46%, reducing RBI penalties and optimizing cash availability.Built a bi-weekly limitation tracker to automate document formatting and integration, reducing manual effort by 95% and significantly enhancing client efficiency- Managed the GSST project by finalizing production calendar, overseeing project activities, maintaining documentation, and organizing meetings to ensure on-time execution- Facilitated data source transition for models due to Basel 4 changes, between teams to ensure seamless project management and stakeholder communication
