Ishita Singla

• Collaborated with product, engineering, and operations teams to solve high-impact problems and build scalable analytics solutions using AWS and SQL.
• Built and maintained robust sets of operational metrics to support strategic decision-making by senior leaders.
• Designed and implemented multiple ETL pipelines using AWS Glue (PySpark) and Athena for data validation and processing from S3 to Redshift.
• Translated complex data into actionable insights using Tableau and QuickSight dashboards, enhancing transparency and business performance.
• Worked with stakeholders across HRBP, GPIT, PXT, and Ops teams to automate reporting and standardize KPIs.

Key Projects & Impact:

• GO-AI Attrition Dashboard: Designed a centralized platform aggregating attrition data by tenure, program, and level using HRBP portals.
  Impact: Reduced manual effort by 58.6%, avoided ~$1700 attrition cost per ~120 HC/month, standardized metrics across multiple teams.
• Cost Per Thousand Labels (CPTL) Dashboard: Created a Tableau ETL pipeline and Single Source of Truth (SSoT) for 20+ annotation programs to track OPEX and label costs.
  Impact: $40K in entitlement savings, 50% manual effort eliminated, 10% improvement in metric accuracy.
• PRISM Real-Time Ops Dashboard: Replaced 144 min/day of manual effort with Slack-based health snippet automation using CloudWatch.
  Impact: 16.9K hours saved annually, equivalent to 11.7 FTE.
• L2-L3 OSC GPIT Scorecard Dashboard: Automated manual Nike performance metric consolidation across FFR, Ops, and Andon metrics.
  Impact: Saved ~9,918 hours/year, $89K in entitlements, 99.6% manhour reduction.
• OSC Connect Real Time Monitoring Dashboard: Real-time SLA tracking for SME sessions using Amazon Connect metrics; custom alerts ensured SLA adherence. Impact: $101K in savings annually, improved SLA target accuracy, enabled rapid capacity allocation decisions.

• Served as primary owner of business-critical dashboards, ensuring uptime, data integrity, and stakeholder usability.
• Developed advanced Python-based forecasting models with sensitive MOE for business-critical parameters across GO-AI programs.
• Scoped requirements for new metrics, automated report creation, and maintained stakeholder alignment with agile transformation plans.
• Partnered with GCW Planning, Ops, Business Transformation, and Tech teams to prioritize analytics-driven automation initiatives.
• Conducted deep dives using SQL, Tableau, and Redshift data to troubleshoot dashboard failures and data discrepancies.

Key Responsibilities & Deliverables:

• Owned dashboard uptime, data integrity, and delivery cycles for senior leadership reviews.
• Designed data visualization frameworks with Tableau, enabling pattern recognition and root-cause analysis for cost, performance, and productivity.
• Led automation initiatives to reduce manual intervention across performance reporting and planning workflows.
• Built end-to-end metric definitions, working backwards from business needs across 10+ global programs, including near-real-time HITL initiatives.
• Drove real-time analytics for SLA risk alerts and program performance reporting, collaborating with capacity planning and engineering teams.
• Maintained stakeholder trust and drove program alignment by translating ambiguous requirements into scalable technical solutions.

• Delivered end-to-end automation, dashboarding, and analytics projects to streamline decision-making for cross-functional business units.
• Led discovery sessions with stakeholders to gather requirements and translate business needs into automated reporting solutions.
• Built reusable data models and assets that supported consistent BI delivery, reduced duplication, and improved report accuracy.
• Partnered with operations and leadership to interpret trends, summarize findings, and recommend actionable solutions.

Tools Used: Power BI, Tableau, Excel, SQL

Key Contributions:

• Developed interactive dashboards to visualize key KPIs, improving speed and clarity of executive reporting.
• Introduced automation frameworks that cut manual reporting time by up to 40%, using SQL and Excel macros.
• Supported process optimization through data deep-dives across finance, operations, and risk verticals.

• Enhanced operational efficiency through robust data analysis, fraud risk monitoring, and performance tracking across financial clients.
• Generated complex monthly reporting packs using advanced Excel, SQL, Hive functions, and Tableau.
• Evaluated transaction patterns to identify anomalies, detect fraud, and ensure regulatory compliance.

Tools Used: SQL, Hive, Tableau, Excel, Power BI

Key Contributions:

• Built VMRI (Visa Merchant Risk Intelligence) reports, integrating large datasets for fraud detection and merchant risk profiling.
• Achieved 75% success in automating claims reporting by identifying systemic inefficiencies and deploying fixes.
• Synthesized insights into polished presentations for leadership, highlighting fraud risk trends and compliance gaps.

• GPA: 8.5/10