Abdulsaim Khan

Reduced manual reporting effort by 30% by automating recurring KPI reports using Excel, Pivot Tables, XLOOKUP/VLOOKUP, and Power Query. Improved performance visibility by 35% by developing interactive Power BI dashboards tracking accuracy, productivity and moderation KPIs. Improved data reliability by 25% by implementing an ETL-style workflow for extracting, cleaning, validating, and transforming high-volume moderation data.

Data Analyst Intern at Concentrix (2026-04 – 2026-06)

• Reduced manual reporting effort by 30% by automating recurring KPI reports using Excel, Pivot Tables, XLOOKUP/VLOOKUP, and Power Query.
• Improved performance visibility by 35% by developing interactive Power BI dashboards tracking accuracy, productivity and moderation KPIs.
• Improved data reliability by 25% by implementing an ETL-style workflow for extracting, cleaning, validating, and transforming high-volume moderation data.
• Reduced reporting time by 30% by using SQL queries to filter, summarize, and analyze moderation data.
• Identified recurring policy and performance issues through trend analysis, helping stakeholders address 20%+ of recurring issue categories through data-driven recommendations.

Data Analyst Intern at Unified Mentor (2025-12 – 2026-01)

• Analyzed 30,000+ records across 5+ projects using Python, SQL, and Excel to identify trends and data-quality issues.
• Cleaned and transformed 10+ datasets, handling missing values, duplicates, inconsistencies, and formatting issues.
• Developed 5+ Power BI dashboards with 20+ KPIs to track business performance and key trends.
• Wrote 30+ SQL queries using JOINs, aggregations, subqueries, and conditional logic for data extraction and analysis.
• Performed EDA using Pandas, NumPy, Matplotlib, and Seaborn, generating 25+ actionable insights across multiple datasets.

Bachelor of Arts in Mathematics & Economics – Delhi University, New Delhi (2025)