About
Data Analyst with around 3 years of experience building automated BI pipelines and delivering marketing analytics and consumer insights for 50+ global accounts across market research, SaaS, and enterprise environments. Skilled in SQL, Python, Power BI, Tableau, and Excel, with hands-on use of AI and machine learning frameworks for trend prediction and cross-functional decision-making. Delivered measurable impact: cut report delivery time by 40%, accelerated behavioral-insight discovery, and improved targeting accuracy through a predictive scoring engine. Known for translating complex data into clear, actionable insights for leadership.
Skills & Expertise (36)
Work Experience
Data Analyst
Toluna
Mar 2025 - Present
Reduced report turnaround time from 5 days to 3 days by automating recurring reporting workflows across Python, Excel, Power BI, SPSS and Tableau while consistently meeting daily, weekly, and monthly SLA targets. Applied AI and machine learning frameworks including ML-assisted trend detection to funnel, cohort, and regression analyses across 100+ datasets during weekly marketing analytics reviews, helping the team catch behavioral shifts meaningfully faster than the prior fully-manual process. Rebuilt validation logic before each data warehouse refresh using CTEs, window functions, and Python scripts — this is what actually eliminated the recurring KPI variance issues the team used to chase down manually. Conducted statistical analysis on consumer behaviour datasets tracking user responses after ad exposure uncovering key findings around ad recall frequency and brand familiarity, which helped clients understand which creatives resonated most and how well-recognized their brand was among target audiences. Engineered automated pipelines covering raw data ingestion through to transformed warehouse outputs, dramatically cutting manual reporting effort per cycle and freeing up capacity for deeper trend and stakeholder work.
Business Analyst
Transformation Studios
Aug 2024 - Feb 2025
Built a Python-based ELT pipeline that automated web scraping and data loading, with dbt handling the transformations. The solution improved data collection efficiency by 40%, reduced manual work, and saved both time and operational costs. Built a centralized data warehouse that standardized operational data into reliable, scalable reporting pipelines, substantially accelerating data retrieval across planning cycles. Developed a SQL-powered predictive scoring engine that applied statistical analysis and machine learning logic to rank outreach profiles by fit, improving targeting accuracy by 50%.
Business Analyst
Umbrella Protection Systems
Oct 2023 - Jul 2024
Designed end-to-end data warehouse workflows and automated quality checks in Python, then communicated KPI accuracy standards to cross-functional teams before each business review substantially strengthening ERP data integrity organization-wide. Analyzed differences between expected and actual outputs to identify 70+ issues, translating findings into actionable recommendations that led to 50+ product enhancements. Created user-friendly documentation and conducted SaaS training for 50+ technicians and senior stakeholders, reducing onboarding time from 7 days to 5 days and improving adoption of ERP reporting workflows.
Education
Data Analytics Programme - Masai School
2022 - 2023 · Afghanistan
B.Tech — Civil Engineering - Sachdeva Institute of Technology
2015 - 2019 · Afghanistan
Certifications
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Skills (36)
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