Sharukhan Nadaf

Senior Quality Analyst

Bengaluru, India 3+ yrs exp 87 · Excellent

About

Data & Quality Analytics professional with 3+ years of experience in SQL-driven data validation, data quality analysis, automation, and analytics across large-scale datasets. Experienced in translating business rules into SQL validation logic, identifying anomalies, reconciling datasets, performing root-cause analysis, and developing lightweight internal tools that reduce repetitive manual effort. Hands-on with SQL, Power BI, Advanced Excel, Google Apps Script, HTML/CSS/JavaScript, and data-quality automation; working knowledge of Python, Pandas, and NumPy. Conceptual understanding of ETL/ELT, data warehousing, data modeling, data transformation, and data pipeline concepts.

Skills & Expertise (44)

SQL Advanced

8.2/10

Years Exp

Data Validation Advanced

8.0/10

Years Exp

Data Analysis Advanced

8.0/10

Years Exp

Power BI Intermediate

7.5/10

Years Exp

Data Cleaning Intermediate

7.5/10

Years Exp

Google Apps Script Intermediate

7.0/10

Years Exp

Python Intermediate

7.0/10

Years Exp

ETL Intermediate

6.5/10

Years Exp

DAX Intermediate

6.0/10

Years Exp

Data Warehousing Intermediate

6.0/10

Years Exp

Trend Analysis Data Pipelines Interactive Dashboards Google Sheets Automation HTML CSS JavaScript Pandas NumPy Pivot Tables XLOOKUP Index-match Power Query Conditional Formatting IFERROR Prompt Engineering Views Joins CTEs Subqueries Case GROUP BY HAVING Aggregate Functions Window Functions Filters Data Profiling Data Reconciliation Anomaly Detection Root Cause Analysis ELT Data Transformation Data Modeling KPIs

Work Experience

Senior Quality Analyst

Pramata Knowledge Solutions

Oct 2025 - Present

Perform SQL-driven analysis and data validation across large-scale contract datasets, identifying anomalies, inconsistencies, missing relationships, and business-rule violations. Develop SQL validation logic using JOINs, CTEs, subqueries, CASE statements, aggregations, GROUP BY/HAVING, window functions, and views to identify data-quality issues. Analyze datasets containing hundreds of thousands of records and translate business requirements into repeatable validation rules and analytical checks. Developed an offline HTML/JavaScript-based QA Application that consolidates additional data-quality checks not covered by existing SQL-based QA dashboards. Designed the QA application to process Voyager reports and generate structured error sheets based on coded validation logic, reducing dependency on repetitive spreadsheet-based checks. Developed validation workflows covering data cleansing, parent/child relationship validation, CAM tagging, term-level checks, and project-specific data-quality requirements. Developed an Adobe GT Code QA workflow with SQL-based validation logic for Effective Date, Parent Linking, Permitted Use, and related checks, substantially reducing manual validation effort. Created a CTR Term Type Validation Tool that analyzes citation text, suggests the expected term type, compares it against digitized values, and highlights potential interpretation discrepancies. Automated repetitive QA activities using Google Apps Script and Google Sheets, reducing manual weekly effort and improving validation consistency. Used Advanced Excel and Power BI to analyze quality metrics, error trends, reviewer performance, and operational patterns. Collaborated with software engineers and cross-functional stakeholders to translate data-quality requirements into validation logic and reusable QA tools. Performed root-cause analysis of recurring data issues and translated findings into process improvements and automated checks.

Quality Analyst

Pramata Knowledge Solutions

Apr 2025 - Oct 2025

Performed data-quality validation and analytical checks across large-scale contract datasets. Investigated recurring data errors and identified patterns to improve validation rules and downstream data quality. Used SQL and spreadsheet-based analysis to validate records, investigate discrepancies, and support issue resolution. Identified repetitive manual validation activities suitable for rule-based automation and contributed to QA automation initiatives. Collaborated with cross-functional teams to investigate data issues and improve accuracy of delivered datasets.

Contract Analyst

Pramata Knowledge Solutions

Apr 2024 - Mar 2025

Analyzed and validated structured contract data across large-scale client datasets. Performed data reconciliation and identified inconsistencies between source information and digitized contract records. Applied business rules and correction logic to improve data accuracy and consistency. Used Excel-based analysis, filtering, lookups, and validation techniques to investigate data discrepancies. Collaborated with cross-functional teams to resolve data-quality issues and support accurate contract digitization.

Data Associate

Pramata Knowledge Solutions

Feb 2023 - Mar 2024

Processed and validated structured contract data while maintaining accuracy and consistency across high-volume datasets. Performed data checks and identified discrepancies during contract digitization and data-cleanup workflows. Supported quality-control activities and contributed to maintaining reliable datasets for downstream use.