Power Bi, Quality Control, ETL, SQL, Excel

Harsha Vardhan Kaushik

+91-701******* **********@*****.***

PROFILE SUMMARY

Digital Associates with 3.5 years of experience in SQL, Power Bi visualization, data annotation, data analysis, quality control, and structured data handling. Skilled in querying databases, extracting insights, automating validation processes, and building dashboards. Strong understanding of data structures, labelling workflows, and data interpretation. Recently strengthened SQL and data analytics skills to transition into a more analytical and database-focused role. Key Achievements

• Reduced manual QA time by 25% with SQL automation.

• Built SQL repository improving data accessibility.

• Designed Power BI dashboards reducing audit cycle time. SKILLS

Technical Skills:

• SQL (MySQL, Advanced Queries, Joins, Subqueries, CTEs, Window Functions)

• Power BI (Data Modelling, Visualization, Reporting)

• Data Annotation & Labelling

• Data Quality & Validation

• Reporting & Automation

• Data Warehousing

Tools & Software: Excel JIRA MySQL Power BI

EDUCATION

MBA (HR) – JNTU Kakinada, 2020

B.Sc. Computer Science – AN University, 2017

WORK EXPERIENCE

Amazon Data Annotation & Data Quality Analyst Oct 2021 – Feb 2025

• Worked on large-scale annotation projects for NLP & CV models.

• Validated data with SQL for reporting, QA, troubleshooting.

• Automated QA reports with SQL reducing manual effort.

• Collaborated with ML, QA, Data Ops to improve pipelines.

• Maintained >95% accuracy while meeting deadlines. PROFESSIONAL DEVELOPMENT BREAK FEB 2025 – PRESENT

• Upskilled in Advanced SQL & Power BI.

• Completed analytics projects (KPI dashboards, trend analysis).

• Built ETL mini-projects to strengthen SQL + BI skills. PROJECTS

Amazon Textract & Amazon Q Test Data Oct 2021 – Dec 2024 Role: Digital Associate

Responsibilities:

• Designed SQL queries to validate and monitor structured/unstructured data.

• Developed ETL workflows for analytics-ready datasets.

• Built Power BI dashboards (accuracy, OCR success, error trends).

• Automated weekly reporting pipelines reducing QA time by 30%. Amazon Q Training Data Optimization & Analytics Jan 2024 – Feb 2025 Responsibilities:

• Designed and executed SQL queries to validate training data for Amazon Q conversational AI.

• Collaborated with ML engineers to refine knowledge base mapping and improve Amazon Q’s response quality.

• Automated error detection reports with SQL to identify inconsistent annotations and missing intents. Key Achievements:

• Improved data accuracy by 20% via SQL validation.

• Built real-time Power BI dashboards for OCR success.

• Streamlined ETL pipelines reducing turnaround by 40%.

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