Mohammed Nazrul islam
@nazrulislam3626
About
Senior Regulatory Leader | Financial Strategist | RegTech & Data Analytics Professional| CA(Finalist): Python (Pandas, NumPy, Matplotlib) & ERP Development
Skills & Technologies
Projects & Repositories
Recent public projects and repositories from this profile.
Exploratory-Data-Analysis-EDA-and-Data-Visualization-
Jupyter NotebookAn Exploratory Data Analysis (EDA) and Data Visualization project on 5,000 anonymized US bank customer records to identify key drivers behind personal loan acceptance for targeted marketing strategies.
Credit-Risk-Prediction-using-Machine-Learning-Models
Jupyter NotebookThis project focuses on predicting credit risk (Good vs Bad borrowers) using structured financial and demographic data. The objective is to evaluate and compare multiple machine learning classification models to identify the most reliable and stable model for credit risk assessment, on the basis of the dataset
Exploratory-Data-Analysis-EDA-on-
Jupyter NotebookNo project description available.
Power-BI-Dashboard-Analysis-Bank-Marketing-Campaign-Data
This analysis uses the Bank Marketing Campaigns dataset (UCI / Kaggle, S. Moro, P. Cortez, P. Rita, 2014), which records the outcomes of a Portuguese bank's direct-call term-deposit campaign. The dataset contains 41,188 client records across 21 variables, including client demographics. The dataset is complete, with no missing values.
IFRS-9-Expected-Credit-Loss-ECL-Modeling-using-Advanced-Machine-Learning
Jupyter NotebookThis project develops a predictive framework for credit risk under IFRS 9 standards. It leverages a dataset of over 32,500 entries to predict the Probability of Default (PD).