ALEKHYA PIRLA SQL DATA ANALYST
Atlanta, GA *******.****@*****.*** 470-***-****
PROFESSIONAL SUMMARY
SQL Data Analyst with 5+ years of experience in SQL querying, reporting, data validation, KPI tracking, dashboard support, and ad hoc analysis. Experienced in working with customer, account, and operational datasets to identify trends, improve report accuracy, and support business decision-making using SQL, Excel, Tableau, and Power BI.
TECHNICAL SKILLS
SQL: Joins, GROUP BY, Aggregations, CASE WHEN, Subqueries, Filtering, Data Validation
Data Analysis: Data Cleaning, Trend Analysis, KPI Reporting, Data Quality Checks, Ad Hoc Analysis
Reporting Tools: Microsoft Excel, Tableau, Power BI
Programming: Basic Python, R, SAS
Business Tools: ERP Systems, ERP Reporting Support, Agile/Scrum, Project Tracking, Stakeholder Communication
PROFESSIONAL EXPERIENCE
Data Analyst
Atlanticus, Atlanta GA Mar 2023 – Present
Analyzed 30K+ customer/account records to support KPI reporting, trend analysis, operational insights, and business decision-making.
Wrote SQL queries using joins, GROUP BY, aggregations, and CASE statements for data extraction and validation.
Performed data validation and data quality checks to identify missing values, duplicate records, mismatched totals, and reporting discrepancies.
Prepared KPI reports, business summaries, and ad hoc analysis to track performance trends, reporting accuracy, and process improvement opportunities.
Prepared and validated reporting datasets for Tableau/Power BI by cleaning, verifying, and organizing data for visualization and business analysis.
Analyzed customer behavior trends, account activity, payment patterns, utilization trends, and monthly performance changes.
Partnered with business users and engineering teams to clarify reporting requirements, resolve data issues, and deliver accurate SQL-based reporting outputs.
SQL Developer
Miracle Software Systems Inc, India Oct 2020 – Nov 2022
Developed and supported SQL-based reports for ERP-related operations, process tracking, KPI reporting, and business performance analysis.
Retrieved, prepared, cleaned, and validated large datasets for daily, weekly, and monthly reporting and business analysis.
Used SQL queries to extract, transform, and validate data from multiple business systems for reporting, operational tracking, and analysis.
Identified data gaps, process issues, workload trends, and reporting improvement opportunities through SQL-based analysis.
Prepared status trackers, KPI summaries, and operational reports for supervisors and internal teams.
Collaborated with cross-functional teams to resolve reporting issues, validate data accuracy, and support reliable data preparation for operational reporting.
PROJECT
Customer Data Analysis Dashboard
Prepared, cleaned, and analyzed customer/account datasets using SQL and Excel to support reporting, visualization, and business trend analysis.
Created SQL queries to summarize customer activity, usage trends, account status, and payment behavior.
Used joins, filters, GROUP BY, aggregations, and CASE statements to prepare analytics-ready datasets for dashboard reporting and data visualization.
Built KPI summaries and dashboard views in Tableau/Power BI to show trends, performance metrics, operational insights, and business reporting outcomes.
Education: BTech, Jawaharlal Nehru Technological University, Kakinada