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Data Analyst with less than a year in Excel, SQL & Power BI
Curious and detail-oriented Data Analyst with strong foundations in Excel, Google Sheets, SQL, and Power BI. Experienced in collecting, cleaning, organizing, and validating data from multiple sources including Excel sheets and SQL exports. Skilled in preparing daily, weekly, and monthly reports, building dashboards, identifying trends and anomalies, and supporting ad-hoc data requests for business teams. Strong understanding of VLOOKUP, XLOOKUP, Pivot Tables, SELECT, WHERE, JOIN, and GROUP BY with a focus on data accuracy, documentation, and clear stakeholder communication.
Bishop Heber College
B. Com · Computer Applications
January 1, 2020 – May 1, 2023
KPI Tracking, Documentation & Process Optimization
June 18, 2026 – Present
Developed Excel-based KPI tracking sheets to monitor weekly and monthly operational performance. Standardized metric definitions and maintained documentation of reports and calculation logic. Improved data cleaning and formatting processes reducing manual effort by 30%. Ensured data accuracy and reporting consistency through structured validation and reconciliation methods.
Customer Trend & SQL Analysis Project
June 18, 2026 – Present
Used SQL (SELECT, WHERE, JOIN, GROUP BY) to extract and summarize structured datasets for reporting and business summaries. Conducted trend and pattern analysis to identify repeat purchase behavior and customer segments. Delivered clear visual and written summaries simplifying analytical findings for non-technical stakeholders. Supported ad-hoc data requests by generating customized Excel and SQL-based reports.
Sales Data Reporting & Dashboard Development
June 18, 2026 – Present
Collected, cleaned, and organized 10,000+ sales records from Excel, Google Sheets, and SQL exports ensuring data consistency and accuracy. Prepared daily, weekly, and monthly sales reports using Pivot Tables, XLOOKUP, and summary dashboards. Built interactive Power BI dashboards tracking revenue, product KPIs, and regional performance metrics. Performed data validation checks and identified anomalies improving reporting accuracy by 25%. Collaborated with cross-functional business teams to present insights and support data-driven decision-making.
Data Analytics Certification
Entri Elevate in collaboration with Illinois Tech, USA
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project experience demonstrates a practical, results-oriented approach to data analysis, focusing on improving reporting accuracy and reducing manual effort. The diversity of projects (sales data, customer trends, KPI tracking) suggests adaptability and a willingness to tackle various business problems. The stated soft skills align with a collaborative and problem-solving work environment.
Soft Skills & Operational Fit
The candidate highlights soft skills such as Time Management, Teamwork, Problem Solving, Adaptability, and Critical Thinking. Project descriptions indicate collaboration with cross-functional teams and stakeholder communication, which are positive indicators for operational fit.