Rajathesh Hm

Operations Associate

Bengaluru, Karnataka, India6 mos experience

Key Highlights

Achieved 99.5% accuracy in data validation.
Reduced reporting time by 15% through automation.
Promoted from Trainee to Full-Time Analyst in 4 weeks.

Stackforce AI infers this person is a Sports Data Analyst with expertise in data operations and video analysis.

Contact

Skills

Core Skills

Data OperationsQuality ControlData Quality ReviewEvent Classification

Other Skills

Guideline-Based ReviewContent ModerationExcel AutomationTrust & Safety OperationsPower BIRegulatory ComplianceSLA ManagementContent ClassificationRisk OperationsPolicy EnforcementData Quality AssuranceRule-Based Decision MakingMatch taggingData AnnotationSOP adherence

About

I am a Sports Data and Video Operations professional based in Bengaluru with hands-on experience in ball-by-ball match analysis, live sports data tagging, and high-volume dataset validation across multiple sports and professional formats. Currently a Data Operations Analyst at Hudl — maintaining 99.5% accuracy across 10,000+ validated records under strict 24-hour SLA windows across Cricket, Basketball, Volleyball, and Football for clients across 100+ countries. My expertise lies in: Video Tagging: Ball-by-ball event capture, delivery classification, shot selection analysis, and footage breakdown to broadcast standards. Data Integrity: Real-time QC, zero data gaps across full match durations, and SOP adherence across all workflows. Performance Analysis: Match analysis, field positioning, wagon wheel mapping, and dismissal nuance capture across all cricket formats. Operational Excellence: Promoted Trainee to Full-Time Analyst in 4 weeks. Reduced reporting time by 15% through Advanced Excel automation. Cricket domain knowledge covers all formats — Test, ODI, T20, T10, The Hundred — including DLS methodology, ICC regulations, and umpire signals. Open to Sports Video Analyst, Performance Analyst, and Sports Data roles — remote or Bengaluru based.

Experience

Hudl

2 roles

Sports Analyst

Feb 2026 – Present · 2 mos · Remote

Consistently exceeded productivity benchmarks by processing 100+ records/hour while maintaining a 99.5% Quality Assurance (QA) score.
Applied complex, rule-based SOPs to classify high-volume data, ensuring zero compliance violations in a Trust & Safety environment.
Engineered Excel-based automation tools that cut manual reporting time by 15%, increasing team bandwidth for high-priority escalations.

Guideline-Based ReviewContent ModerationData OperationsQuality Control

Sports analyst trainee

Jan 2026 – Feb 2026 · 1 mo · Remote

Undergoing structured training in sports video analysis
Learning event tagging, accuracy standards, and analysis workflows
Working with Hudl tools under trainer supervision

Trust & Safety Operations

Tacklesoft private limited

Sports Data Operations Analyst

Sep 2025 – Jan 2026 · 4 mos · Remote · Remote

Performed high-volume data annotation and rule-based event classification across structured workflows, maintaining strict SOP adherence and quality benchmarks
Applied accuracy-first approach to large-scale structured data processing — building core foundation in content classification, data quality review, and Trust & Safety operations
Consistently met quality control and productivity targets across 5 months of high-volume data operations

Power BIEvent ClassificationData Quality Review