Vivek Vishwakarma

Advanced Analytics for Banking Efficiency: Improved operational efficiency by identifying bottlenecks, streamlining processes, and reducing costs. Enhanced customer retention and satisfaction. Optimized risk management by predicting credit defaults, fraud. Developed predictive models using machine learning algorithms to predict customer churn, credit defaults. The predicted and actual values showed energy efficiency of around 25%. Enhancing Patient Care through Predictive Analytics: Leveraged data-driven insights to enhance patient outcomes, optimize resource allocation, and improve overall healthcare system efficiency. Built predictive models using logistic regression, decision trees, neural networks. Finance Risk Analytics: Developed an effective risk analytics framework that identifies, quantifies, and manages risks in the financial sector.

Loan Approval Prediction: Predicting whether loan would be approved using past CSV data. Overcoming effects of imbalanced dataset | EDA | Model Building using Boosting Algorithms (XGBoost, SVM, Random Forest) | Model Deployment on AWS. Outcome: minimized risk and reduced defaulters by 85%. Bank Customer Segmentation: EDA | Model Building using Clustering and PCA. Outcome: Maximized marketing campaign conversion rate. Customer Lifetime Value: Machine Learning Model using XGBoost Classifier + Clustering. Outcome: Improved Revenue by 25%.

Cold calling leads and maintaining lead funnel using LEADSQUARED. Setting up meetings for BYJU'S Home Demonstration. Conducting 8-10 meetings weekly and generating revenue. On spot sales of educational technology products for K-12 segment in B2C domain. Punching, Tracking and Managing orders using ORDERHIVE.

IBM Certification