Harjyot Singh Sethi

Masters in IT graduate (extension Data Analytics) with hands-on experience in Python, SQL, Tableau, Power BI, and Excel. Skilled in data analysis, ETL, and dashboard development across HR, IT, and business operations. Proven ability to turn complex datasets into actionable insights. Passionate about data-driven transformation in banking and enterprise environments.

• Data Analysis with Python by IBM
• Tableau Boot Camp by Udemy
• Business and Data Analytics in Python by Udemy
• Databases and SQL for Data Science with Python

Access Request & Support Ticket Analytics, Analyzed user access requests and IT support tickets to identify workflow delays, access issues, and departmental trends., Processed data using Python (Pandas) to clean, merge, and standardize formats., Built interactive Tableau dashboards showing access volumes, turnaround times, and resolution trends., Detected repeated access attempts, delayed approvals, and high-frequency issues affecting productivity., Delivered insights to HR and IT to improve onboarding, enforce access policies, and reduce support bottlenecks., Demonstrated the role of data analytics in improving operations and the employee experience. HR Attrition & Productivity Insights Dashboard, Analyzed HR datasets (tenure, performance, resignations) to identify trends in employee attrition., Used Python (Pandas) for data cleaning and transformation, focusing on project load, role changes, and internal mobility., Detected early disengagement signals by analyzing HR service tickets (leave, grievances, IT issues)., Created Power BI dashboards to visualize attrition rates, department-wise exits, and engagement-score correlations., Identified key attrition drivers like repeated transfers, unresolved access issues, and lack of training., Delivered insights to guide retention strategies, improve HR communication, and support early intervention for at-risk employees., Showcased how data analytics enhances employee experience and HR decision-making.