Priyanshu Shekhar

Developed and implemented machine learning models and algorithms for fraud detection and anti-money laundering initiatives, resulting in a significant reduction in fraudulent activities. Conducted data analysis and data mining to identify patterns and anomalies in large-scale datasets, improving the accuracy of fraud detection systems. Collaborated with cross-functional teams, including business analysts and investigators, to understand requirements and develop customized solutions to mitigate financial risks. Utilized various machine learning algorithms such as logistic regression, random forest, and gradient boosting to build predictive models. Validated and evaluated models using appropriate performance metrics and adjusted models as necessary. Conducted extensive data preprocessing, feature engineering, and feature selection to optimize model performance and reduce false positives.

Designed the Ecommerce product combination and association by performing market basket analysis for the 'BUY 2 GET 1' marketing campaign which boosted sales by 15%. Analyzed Mall data for member and non-member customers and categorized them on their expenditure behavior using K-means clustering which resulted in personalized customer offers leading to a growth of 8.5% in quarterly revenue. Achieved a business growth of 10% on Electronic sales by building the Lasso and Ridge regression model for demand prediction across different inventory domes.