Sarvagya S.

Key Skills

Software

Don't disclose

Top Subject Matter

Infrastructure project quality analytics (EPC)

Customer relationship management and sales analytics

Legal Services & Contract Review

Top Data Types

Text

Document

Top Task Types

Data Collection

Freelancer Overview

Summer Intern – Project & Quality Analytics (via ICT Consultants for NHAI). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Salesforce, and Google Sheets. Education includes Bachelor of Technology, National Institute of Technology Calicut (2026) and Senior Secondary Education (Class XII), D.A.V. Public School, Kota (2022). AI-training focus includes data types such as Text and labeling workflows including Data Collection.

Labeling Experience

Management Trainee – Business Operations & Sales Analytics (RAAM Group / Mercedes-Benz)

TextData Collection

Performed data-driven customer funnel and CRM analytics as a Management Trainee, collecting and organizing interaction and lead information for lead prioritization and sales pipeline visibility. Used CRM system records to maintain accurate lifecycle tracking across sales stages and created KPI dashboards for operational monitoring. This role involved assembling business data for analytics, not direct AI labeling. • Managed 35+ customer leads and identified engagement patterns for prioritization. • Captured insights from 800+ customer interactions to support conversion decision-making. • Maintained lead lifecycle and pipeline tracking in CRM tools (Salesforce, STS, DTP). • Built KPI dashboards in Google Sheets to monitor enquiries, call progress, and engagement metrics.

2025 - 2025

Summer Intern – Project & Quality Analytics (via ICT Consultants for NHAI)

Don't discloseTextData Collection

Worked on project and quality analytics during a summer internship, involving collecting, documenting, and organizing field and lab quality data for infrastructure work. Assisted with evaluating material performance by identifying deviations from recorded quality standards and supporting root-cause investigations. The work centered on structured data gathering and analysis rather than model training or annotation tooling. • Collected and documented field and lab data for quality check experiments. • Supported assessment of material performance and detection of deviations from standards. • Assisted in root cause analysis to identify quality gaps affecting execution. • Tracked and validated contractor payment milestones using project records.

2024 - 2024

Education

Work History