Harikrishnan Murugan

Machine Learning Model Development: Designed and implemented a machine learning model in Python for predicting customer retention at Alteryx, achieving 87% accuracy and a 15% improvement in retention rates.

Data Preprocessing and Feature Engineering: Conducted comprehensive preprocessing and feature engineering on a dataset of 50,000 clients, resulting in a 10% boost in model performance.

Strategic Insights Presentation: Delivered actionable insights and strategic recommendations to management, directly influencing critical business decisions.

Interactive Dashboard Creation: Developed interactive dashboards to visualize customer trends, significantly enhancing real-time decision-making capabilities.

• Developed and Deployed Predictive Models: Engineered advanced predictive models for customer churn and segmentation, integrating them seamlessly into the production environment to drive actionable insights.
• Data Preparation and Optimization: Executed comprehensive data cleaning, transformation, and analysis on extensive raw datasets, achieving a 10% enhancement in data accuracy and reliability.

• Data Collection and Preprocessing: Contributed to the acquisition and preprocessing of raw data, ensuring data integrity and readiness for advanced analysis.
• Statistical Analysis and Pattern Recognition: Performed rigorous statistical analysis to uncover patterns and correlations within datasets, providing valuable insights for decision-making.
• Financial Modeling and Revenue Optimization: Designed and implemented sophisticated financial models to identify critical metrics and improvement opportunities, leading to a 6% increase in revenue.

• EMV Compliance and Troubleshooting: Managed and rectified EMV (Europay, MasterCard, and Visa) issues related to chip card transactions, ensuring adherence to industry standards and minimizing transaction failures.
• Debit and Credit Transaction Management: Investigated and resolved complex debit and credit transaction issues, improving transaction processing efficiency and customer satisfaction.

• Fraud Prevention: Enhanced fraud detection systems to identify and mitigate potential threats, ensuring the integrity of digital payment transactions and improving overall security.
• System Integration: Collaborated with cross-functional teams to integrate secure payment solutions seamlessly into existing platforms, optimizing transaction processing efficiency and user experience.