Apoorv K.

Key Skills

Software

Other

Top Subject Matter

Manufacturing ERP (QAD)

data migration and reporting

IT service management (ServiceNow) ticket documentation

Top Data Types

Computer Code Programming

Text

Document

Top Task Types

Data Collection

Freelancer Overview

Junior Consultant (DIGITUS BUSINESS SOLUTIONS) — Progress 4GL development, Excel–VBA ERP data transformation, and QAD da. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Engineering, Sir M Visvesvaraya Institute Of Technology (2024). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Computer Programming, Coding, and Data Collection.

Labeling Experience

Junior Consultant (DIGITUS BUSINESS SOLUTIONS) — Progress 4GL development, Excel–VBA ERP data transformation, and QAD data migration support

Other

In this role, the candidate built Progress 4GL report and maintenance programs to support ERP module operations and downstream data use. They created Excel–VBA automations that transform and prepare ERP data, supporting extraction and validation workflows for ERP environments. They also contributed to ERP data migration (QAD 2019 to QAD 2024) using Excel-based extraction, cleansing, transformation, and validation to meet updated schemas and business rules. • Programmed Progress 4GL (OpenEdge ABL) for ERP report/maintenance needs. • Developed Excel–VBA form-based automation to transform and prepare ERP data on demand. • Supported ERP data migration using extraction, cleansing, transformation, and validation activities. • Performed Linux-assisted basic command work to support ERP tasks.

2025 - Present

System Administrator (CGI) — ServiceNow ticket handling and structured incident documentation

OtherData Collection

The candidate provided technical support and managed ServiceNow tickets for retail store IT issues, which included troubleshooting and documenting incident details for resolution. While this was not AI training or data annotation, their work involved structured collection and logging of issue information to support operational data records. This documentation ensured priority classification and accurate root cause and troubleshooting action capture within SLA timelines. • Managed ~15 ServiceNow tickets per day with structured logging. • Performed troubleshooting across Windows OS, networking, and peripherals. • Logged root cause, troubleshooting actions, and priority classification. • Completed 100% of ticket updates within 1-minute after call work (ACW) window.

2024 - 2025

Education

Work History