North Delhi, Delhi, India
As a Business Analyst at Dhurin, I apply my skills and knowledge in risk and data analytics to deliver credit solutions for the banking sector. I have developed and validated customer attrition scorecards, recovery strategies, and bounce prediction models, using SAS, Excel, and data visualization tools. I have also contributed to the ongoing improvement and optimization of these solutions, enhancing data quality and business outcomes. I hold a Master's degree in Operations Research from Hindu College, where I learned how to apply mathematical and statistical methods to solve complex business problems. I also have certifications in data analytics and data management from Coursera, which demonstrate my commitment to continuous learning and professional development. I am passionate about finding data-driven insights and creating optimal strategies for financial services.
• Expertise in customer retention, risk management, and process optimization, empowering organizations to make informed, data driven decisions. • Reduced churn by leveraging XGBoost and Random Forest models to forecast attrition and implement targeted retention strategies. • Developed and monitored risk assessment models using Logistic Regression and Decision Trees, ensuring accurate identification of potential risks. • Built and maintained Bounce Prediction Models, achieving high accuracy in predicting EMI bounces with Gini Coefficient and KS Statistic. • Streamlined card application processes using Random Forest models, improving risk profiling with SIC Classification, LexisNexis, and DNB data. • Created performance dashboards using Advanced Excel, Tableau, and Python to support data driven decision-making. • Mastered Pandas and NumPy for data cleaning and preprocessing, managing large datasets for robust model building. • Proficient in Machine Learning Algorithms, including Linear Regression, Polynomial Regression, Support Vector Machines, KMeans Clustering, and Hierarchical Clustering. • Expert in Python, SQL, Pandas, NumPy, Matplotlib, NLTK, and SciKitLearn for programming and data analysis. • Utilized Grid Search for optimal model selection and parameter tuning. • Managed and cleaned large datasets for text mining and contactability tagging, ensuring data accuracy and completeness. • Enthusiastic about leveraging data science to solve business problems and drive strategic initiatives.
• Spearheaded strategic initiatives to optimize sales floor operations, enhancing financial efficiency and customer satisfaction. • Oversaw comprehensive financial management of marketing and promotional campaigns across print, Instagram, and Facebook, achieving significant ROI. • Cultivated and maintained valuable client partnerships, driving increased sales and revenue growth through effective negotiation and management. • Leveraged market research and customer feedback to inform budget allocation and marketing strategies, ensuring cost-effective operations. • Conducted in-depth reviews of financial reports, identifying trends and opportunities for cost savings and improved resource utilization. • Led initiatives to pinpoint and resolve operational inefficiencies, resulting in enhanced profitability and streamlined financial processes.