Raksha Jayaram
Data Analyst
About
Data Analytics and Agile Delivery Coordinator with 5+ years of experience supporting AI, computer vision and geospatial data operations through Data Science Quality Assessment (DSQA), dataset validation, reporting, process monitoring, and performance analysis. Experienced in leading cross-functional teams, coordinating, translating stakeholder requirements into execution plans and driving process improvements across large-scale data programs. Skilled in performance analytics, KPI reporting, developing dashboards and operational insights using Power BI and data-driven reporting tracking quality and productivity metrics. Proven ability to monitor quality, productivity, and delivery metrics, identify improvement opportunities and support business decisions through actionable insights. Recognized as Best Team Lead for delivery excellence, stakeholder collaboration and building high-performing teams in fast-paced environments.
Skills & Expertise (17)
Work Experience
Data Science Quality Assessment Engineer II
Eagleview
Sep 2020 - Present
Led dataset validation execution for a 7-member pod and coordinated readiness alignment across 3 delivery pods (20+ analysts) to maintain stable dataset training readiness timelines, resulting in consistent multi-pod throughput across release cycles. Identified workflow inefficiencies and implemented a pod-based operating model, resulting in a 15–20% reduction (~2 days per cycle) in validation turnaround time and improved delivery predictability across 50,000+ aerial imagery prediction outputs per release cycle. Maintained dataset validation accuracy consistently above 90% across multi-pod environments by consolidating audit-layer outputs and reviewing complex edge-case prediction scenarios to improve reviewer decision consistency across validation teams. Built and maintained Power BI dashboards tracking quality, productivity, audit accuracy, SLA adherence, and workforce performance across multiple production pods, analysing large operational datasets to uncover trends, throughput bottlenecks and quality risks that supported data-driven decision-making and operational improvements. Extracted operational and validation data from annotation platforms using SQL and Excel, and used Power Query and basic Python(Pandas) techniques to clean, organize and prepare data for Power BI reporting and analysis. Produced weekly and monthly executive performance reports summarizing productivity, quality, throughput, and delivery trends, providing leadership with visibility into key business outcomes. Partnered with Operations Managers, Team Leads, and ML stakeholders to transform operational data into actionable insights supporting workforce planning, capacity forecasting and performance management initiatives contributing to reductions in defect rates and rework effort. Received EagleView Organisation-Wide Best Team Lead Award for driving operational improvements, team collaboration and delivery excellence.
Data Science Quality Assessment Intern
Eagleview
Jan 2020 - Aug 2020
Performed dataset consistency checks and assisted in identifying labelling discrepancies to improve training data reliability for ML workflows. Collaborated with teams to interpret annotation requirements and ensure adherence to project guidelines and delivery standards. Assisted in tracking annotation progress and reporting dataset readiness status using internal workflow tracking and reporting tools. Supported quality validation of computer vision training datasets by reviewing and training aerial imagery datasets for accuracy, completeness, and taxonomy alignment.
Education
Master of Computer Applications - R V College of Engineering
- · Afghanistan
Bachelor of Computer Applications - National Degree College
- · Afghanistan
Certifications
No certifications added yet
Interested in this developer?
Profile Score Breakdown
Profile Overview
Availability Details
Visa Status
Citizen
Relocation
Depends on Offer
Skills (17)
Click a skill to find developers with the same skill
