Kanmani Arunachalam

• Analyzed and resolved technical issues during system deployment phases. Designed high-availability strategies to minimize downtime during critical systems outages or disaster recovery scenarios.
• Optimized existing systems for improved efficiency and performance metrics.
• Utilized industry-standard tools for project management and communication tasks.
• Analyzed customer requirements and translated them into functional specifications.

• Assisted with customer requests, and answered questions to improve satisfaction.
• Exceeded customer satisfaction by finding creative solutions to problems.

• Analyzed datasets to identify trends and patterns for business insights.
• Assisted in the design and implementation of predictive models for business needs.
• Utilized SQL to extract and manipulate data from databases.
• Created visualizations to present complex data in an understandable format.
• Utilized software programs, such as Microsoft Excel, for data analysis.
• Implemented robust code in multiple programming languages, including Java, C++, and Python.
• Developed Python scripts to automate data analysis tasks.

Successfully completed an internship focused on machine learning, gaining hands-on experience with data analysis, model building, and evaluation

• Delivered 5+ projects for clients across the healthcare and sales domains.
• Built interactive dashboards in Power BI and Excel to track KPIs, and visualize trends.
• Conducted regression and predictive modeling using Python (scikit-learn, pandas).
• Improved client reporting efficiency by 40% through data automation and SQL-based ETL pipelines.