Ashish Mohan

Developed automated Power BI dashboards for workforce analytics, achieving 85% reduction in manual reporting and saving 260 FTE hours annually while enabling real-time KPI monitoring for 500+ stakeholders.
Partnered with senior leadership to design data-driven reporting frameworks, translating business requirements into analytical solutions that reduced project risks by 25% and strengthened executive decision-making.
Optimized resource planning and manpower forecasting through predictive analytics and scenario modeling, leveraging statistical forecasting to improve forecast accuracy by 35% and support capacity planning.
Analyzed digital product adoption and usage data for enterprise BI platforms, tracking user engagement metrics and adoption patterns to optimize rollout strategies, improving platform utilization by 40%.
Led ETL modernization by migrating legacy systems to Databricks, architecting scalable data pipelines that improved processing efficiency by 40% and ensured seamless data integration.
Enhanced data quality by 35% through systematic debugging, validation frameworks, and automated checks, strengthening confidence in operational performance metrics.
Delivered strategic insights through comprehensive MIS reporting and business intelligence solutions including weekly, monthly, and YoY trend analysis, supporting workforce planning and operational efficiency initiatives.
Established governance frameworks by authoring SOPs and process documentation, reducing process turnaround time by 30% while facilitating knowledge sharing across distributed teams.
Demonstrated influencing without authority in matrix organization, coordinating with offshore teams to streamline workflows and deliver cost-effective solutions.
Enabled enterprise analytics adoption by improving data accessibility, governance alignment, and operational reporting standardization across business teams.

Developed automated Power BI dashboards for workforce analytics, achieving 85% reduction in manual reporting (saving 260 FTE hours annually) while enabling real-time KPI monitoring for 500+ stakeholders, Partnered with senior leadership to design data-driven reporting frameworks, translating business requirements into analytical solutions that reduced project risks by 25% and strengthened executive decision-making, Optimized resource planning and manpower forecasting through predictive analytics and scenario modeling, leveraging statistical forecasting to improve forecast accuracy by 35% and support capacity planning, Analyzed digital product adoption and usage data for enterprise BI platforms, tracking user engagement metrics and adoption patterns to optimize rollout strategies, improving platform utilization by 40%, Led ETL modernization by migrating legacy systems to Databricks, architecting scalable data pipelines that improved processing efficiency by 40% and ensured seamless data integration, Enhanced data quality by 35% through systematic debugging, validation frameworks, and automated checks, strengthening confidence in operational performance metrics, Delivered strategic insights through comprehensive MIS reporting and business intelligence solutions including weekly, monthly, and YoY trend analysis, supporting workforce planning and operational efficiency initiatives, Established governance frameworks by authoring SOPs and process documentation, reducing process turnaround time by 30% while facilitating knowledge sharing across distributed teams, Demonstrated influencing without authority in matrix organization, coordinating with offshore teams to streamline workflows and deliver cost-effective solutions, Enabled enterprise analytics adoption by improving data accessibility, governance alignment, and operational reporting standardization across business teams

Optimized ETL workflows using Spark and Presto, implementing query optimization and data modeling best practices that reduced runtimes by 25%.
Improved operational uptime by 45% through proactive data quality management, conducting root cause analysis and implementing automated validation checks.
Built real-time KPI dashboards for service delivery monitoring, providing stakeholder visibility and enabling data-driven decision-making across teams.
Automated data collection via Python scripting and API integrations, reducing reporting turnaround from days to hours with 99%+ accuracy.

Optimized ETL workflows using Spark and Presto, implementing query optimization and data modeling best practices that reduced runtimes by 25%, Improved operational uptime by 45% through proactive data quality management, conducting root cause analysis and implementing automated validation checks, Built real-time KPI dashboards for service delivery monitoring, providing stakeholder visibility and enabling data-driven decision-making across teams, Automated data collection via Python scripting and API integrations, reducing reporting turnaround from days to hours with 99%+ accuracy

Designed and deployed QlikView dashboards for operations teams across finance and supply chain, providing real-time KPI visibility and improving decision-making speed by 40%.
Implemented reporting automation using Oracle SQL, eliminating redundant processes that saved 10% analyst time weekly while improving data accuracy.
Delivered application support with 95%+ SLA adherence, resolving 200+ incidents monthly through systematic troubleshooting.
Supported business expansion by conducting feasibility studies, gathering business requirements, and preparing management reports for new logistics products.
Prepared monthly, quarterly, and annual MIS reports covering operational performance, margin analysis, and resource utilization for logistics and freight operations.

Designed and deployed QlikView dashboards for operations teams across finance and supply chain, providing real-time KPI visibility and improving decision-making speed by 40%, Implemented reporting automation using Oracle SQL, eliminating redundant processes that saved 10% analyst time weekly while improving data accuracy, Delivered application support with 95%+ SLA adherence, resolving 200+ incidents monthly through systematic troubleshooting, Supported business expansion by conducting feasibility studies, gathering business requirements, and preparing management reports for new logistics products, Prepared monthly, quarterly, and annual MIS reports covering operational performance, margin analysis, and resource utilization for logistics and freight operations