About
Business Analytics professional with 2+ years of experience in data analysis, KPI tracking, and generating insights that drive client retention and operational performance. Skilled in SQL, Python, Power BI, and Excel with strong expertise in descriptive analytics, statistical analysis, and data storytelling. Proven ability to identify retention opportunities through analytical approaches, influence senior stakeholders, automate reporting pipelines, and deliver actionable recommendations that enable data-driven decisions. Experienced in cross-functional collaboration and solving data quality issues proactively.
Skills & Expertise (54)
Work Experience
Operational Analyst
NielsenIQ (NIQ)
Feb 2024 - Present
Delivered 50+ analytics and ETL initiatives using Python, Pandas, MySQL, enhancing reporting precision and supporting data-driven client decisions. Automated high-volume workflows with Python, reducing manual effort by 40% and accelerating operational productivity. Implemented Git-based version control and built reusable modular components to support scalable data integration pipelines. Collaborated with clients to refine data structures and resolve integrity issues, resulting in a 90% improvement in overall data consistency. Migrated core workflows to Azure Cloud Storage, optimizing pipeline throughput and improving processing performance by 30%. Created automated monitoring utilities using Python + SQL to detect anomalies, reduce defects, and maintain high data availability across global teams.
Education
B.Tech in Computer Science Engineering - Mahavir Swami Institute of Technology, GGSIPU
2018 - 2022 ยท Afghanistan
Certifications
No certifications added yet
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Skills (54)
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